Latest YouTube Video
Saturday, September 5, 2015
Brazil scores early, beat Costa Rica 1-0
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Over 80,000 fans turn up for Dede's Dortmund testimonial
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Spain beats Slovakia 2-0 to tighten race in Euro qualifying
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Orioles Video: Mike Wright surrenders long HR to Jose Bautista in 5-1 loss to AL East-leading Blue Jays; lost 14 of 17 (ESPN)
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South Sudan gets 1st competitive win, Ghana edges Rwanda
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England qualifies for Euro 2016, Rooney ties scoring record
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Resurgent Russia beats Sweden in Euro 2016 qualifying
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10-Year-Old With Rare Disease Shamed by Anonymous Note Left on Car
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Ryan Foerster
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Madrid donates 1 million euros to refugees
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Q&A with Nightline Adviser (anonymous)
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Apple to Built Fuel Cell Battery that Could Power iPhones and Macbooks for Weeks
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Fekir faces long spell out after rupturing knee ligaments
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Anonymous donor pledges $500000 in a matching gift challenge for the Dream Center
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Anonymous on Twitter: "MEDIA ALERT: Dec. 8, 2015, Nashville, Matt DeHart's trial begins. | https://t ...
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Milky Way with Airglow Australis
Mexico salvages 3-3 tie with Trinidad and Tobago
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Friday, September 4, 2015
Messi scores twice, Argentina beats Bolivia 7-0
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Orioles Highlight: Chris Davis hits 39th and 40th HRs, Matt Wieters and Adam Jones also homer in 10-2 rout of Blue Jays (ESPN)
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Altidore scores twice as US comes back to beat Peru 2-1
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Altidore scores twice as US rallies to beat Peru 2-1
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FFA aware of security situation ahead of World Cup match
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Jermaine Jones makes 1st US start since February
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Germany moves top of Euro 2016 qualifying group
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Hungary, Romania draw 0-0 in Euro 2016 qualifier
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Denmark, Albania draw 0-0 in European qualifier
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France beats Portugal 1-0 in friendly; Martial makes debut
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Goetze leads Germany to 3-1 win over Poland and top spot
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Robben out for 4 weeks with groin injury
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Italy's Serie B to introduce green cards for fair play
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Porto wants Champions League donations to migrants
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Rubin Kazan to fire coach after poor start to Russian league
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St. Pauli to play Dortmund with motto 'Refugees Welcome'
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Chinese energy firm acquires majority stake in Slavia Prague
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Bayern midfielder Javi Martinez supporting migrants
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ISS Daily Summary Report – 09/3/15
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Twitter Open Sources 'Diffy' that Automatically Catches Potential Bugs in Code
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How to Fix Chrome Massive Memory Usage? Simply Try 'Chrome 45' for Faster Performance
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Caution! Hackers Can Easily Hijack Popular Baby Monitors to Watch Your Kids
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Buy Safe and Secure VPN
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MAVEN Stellar Occultation Atmospheric Coverage
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Meet World's Fastest Wi-Fi Router (Looks Like an Alien)
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New Rules Require FBI to Get Warrant for Spying With ‘Stingrays’ Cell Phone Trackers
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Arp 159 and NGC 4725
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Thursday, September 3, 2015
Meeting Directory
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Ravens: WR Marlon Brown (3 catches for 64 yards) resurfaced in preseason finale, writes Jamison Hensley (ESPN)
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Generating Weather Forecast Texts with Case Based Reasoning. (arXiv:1509.01023v1 [cs.AI])
Several techniques have been used to generate weather forecast texts. In this paper, case based reasoning (CBR) is proposed for weather forecast text generation because similar weather conditions occur over time and should have similar forecast texts. CBR-METEO, a system for generating weather forecast texts was developed using a generic framework (jCOLIBRI) which provides modules for the standard components of the CBR architecture. The advantage in a CBR approach is that systems can be built in minimal time with far less human effort after initial consultation with experts. The approach depends heavily on the goodness of the retrieval and revision components of the CBR process. We evaluated CBRMETEO with NIST, an automated metric which has been shown to correlate well with human judgements for this domain. The system shows comparable performance with other NLG systems that perform the same task.
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Building a Truly Distributed Constraint Solver with JADE. (arXiv:1509.01040v1 [cs.AI])
Real life problems such as scheduling meeting between people at different locations can be modelled as distributed Constraint Satisfaction Problems (CSPs). Suitable and satisfactory solutions can then be found using constraint satisfaction algorithms which can be exhaustive (backtracking) or otherwise (local search). However, most research in this area tested their algorithms by simulation on a single PC with a single program entry point. The main contribution of our work is the design and implementation of a truly distributed constraint solver based on a local search algorithm using Java Agent DEvelopment framework (JADE) to enable communication between agents on different machines. Particularly, we discuss design and implementation issues related to truly distributed constraint solver which might not be critical when simulated on a single machine. Evaluation results indicate that our truly distributed constraint solver works well within the observed limitations when tested with various distributed CSPs. Our application can also incorporate any constraint solving algorithm with little modifications.
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Semi-described and semi-supervised learning with Gaussian processes. (arXiv:1509.01168v1 [stat.ML])
Propagating input uncertainty through non-linear Gaussian process (GP) mappings is intractable. This hinders the task of training GPs using uncertain and partially observed inputs. In this paper we refer to this task as "semi-described learning". We then introduce a GP framework that solves both, the semi-described and the semi-supervised learning problems (where missing values occur in the outputs). Auto-regressive state space simulation is also recognised as a special case of semi-described learning. To achieve our goal we develop variational methods for handling semi-described inputs in GPs, and couple them with algorithms that allow for imputing the missing values while treating the uncertainty in a principled, Bayesian manner. Extensive experiments on simulated and real-world data study the problems of iterative forecasting and regression/classification with missing values. The results suggest that the principled propagation of uncertainty stemming from our framework can significantly improve performance in these tasks.
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For US, roster spots up for grabs in Friday match vs Peru
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Pelle leads Italy to 1-0 win over Malta again in qualifying
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Iceland beats Netherlands 1-0 in Euro 2016 qualifier
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Bale powers Wales closer to 1st tournament in 58 years
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Italy-Malta match to observe minute's silence for migrants
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Villas-Boas banned 6 games in Russia for striking official
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German soccer clubs, fans rush to support migrants
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New Pics Added to the Blog Gallery (September 3, 2015)
New Pics Added to the Blog Gallery! (September 3, 2015)
Click link below to visit gallery now!
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Arsenal striker Danny Welbeck has surgery on left knee
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Bayern Munich sets up training camp for refugee children
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Violin Concerto in D major, S-Skma (Anonymous)
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Salve Jesu sancte sponse (Anonymous)
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ISS Daily Summary Report – 09/2/15
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Popular Belkin Wi-Fi Routers vulnerable to Hackers
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26 Android Phone Models Shipped with Pre-Installed Spyware
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Derby's American owners sell to 'Candy Crush' entrepreneur
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Using Android 'AppLock' to Protect Your Privacy? — It's Useless
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Toure missing as Ivory Coast launches African title defense
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American owners of English football club Derby sell up
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Germany midfielder Marco Reus breaks toe in left foot
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Critical OS X Flaw Grants Mac Keychain Access to Malware
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Chile rises in top 10 of FIFA rankings led by Argentina
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FIFA World Rankings List
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Soccer players suspended for game after blackface incident
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Violin Concerto in G minor, S-Skma (Anonymous)
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September 27, 2015 Total Lunar Eclipse: View from the Moon
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[FD] Stored XSS in Watu PRO Play allows unauthenticated attackers to do almost anything an admin can (WordPress plugin)
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[FD] CSRF in Watu PRO allows unauthenticated attackers to delete quizzes (WordPress plugin)
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[FD] Stored XSS in Watu PRO allows unauthenticated attackers to do almost anything an admin can (WordPress plugin)
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[FD] PacSec (Tokyo Nov 11-12): PWN2OWN Mobile first casualty of Wassenaar, CFP extended to Friday September 4
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[FD] Serendipity 2.0.1 - Blind SQL Injection
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[FD] Serendipity 2.0.1 - Persistent XSS
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[FD] Serendipity 2.0.1 - Code Execution
[FD] NibbleBlog 4.0.3 - Code Execution - Not fixed
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[FD] NibbleBlog 4.0.3 - CSRF - Not fixed
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Chung says AFC broke election rules ahead of FIFA vote
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The Flare and the Galaxy
Violin Concerto in B-flat major, S-Skma (2) (Anonymous)
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Wednesday, September 2, 2015
Orioles Highlight: Steve Pearce spectacular catch, Chris Davis 2 HRs, including massive walk-off blast in win vs. Rays (ESPN)
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Heu mihi Domine (Anonymous)
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College soccer players suspended after blackface incident
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Trio Sonata in D major, S-Skma (Anonymous)
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Turing's Imitation Game has been Improved. (arXiv:1509.00584v1 [cs.AI])
Using the recently introduced universal computing model, called orchestrated machine, that represents computations in a dissipative environment, we consider a new kind of interpretation of Turing's Imitation Game. In addition we raise the question whether the intelligence may show fractal properties. Then we sketch a vision of what robotic cars are going to do in the future. Finally we give the specification of an artificial life game based on the concept of orchestrated machines. The purpose of this paper is to start the search for possible relationships between these different topics.
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A Neural Attention Model for Abstractive Sentence Summarization. (arXiv:1509.00685v1 [cs.CL])
Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build. In this work, we propose a fully data-driven approach to abstractive sentence summarization. Our method utilizes a local attention-based model that generates each word of the summary conditioned on the input sentence. While the model is structurally simple, it can easily be trained end-to-end and scales to a large amount of training data. The model shows significant performance gains on the DUC-2004 shared task compared with several strong baselines.
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A Fuzzy Approach for Feature Evaluation and Dimensionality Reduction to Improve the Quality of Web Usage Mining Results. (arXiv:1509.00690v1 [cs.DB])
Web Usage Mining is the application of data mining techniques to web usage log repositories in order to discover the usage patterns that can be used to analyze the users navigational behavior. During the preprocessing stage, raw web log data is transformed into a set of user profiles. Each user profile captures a set of URLs representing a user session. Clustering can be applied to this sessionized data in order to capture similar interests and trends among users navigational patterns. Since the sessionized data may contain thousands of user sessions and each user session may consist of hundreds of URL accesses, dimensionality reduction is achieved by eliminating the low support URLs. Very small sessions are also removed in order to filter out the noise from the data. But direct elimination of low support URLs and small sized sessions may results in loss of a significant amount of information especially when the count of low support URLs and small sessions is large. We propose a fuzzy solution to deal with this problem by assigning weights to URLs and user sessions based on a fuzzy membership function. After assigning the weights we apply a Fuzzy c-Mean Clustering algorithm to discover the clusters of user profiles. In this paper, we describe our fuzzy set theoretic approach to perform feature selection (or dimensionality reduction) and session weight assignment. Finally we compare our soft computing based approach of dimensionality reduction with the traditional approach of direct elimination of small sessions and low support count URLs. Our results show that fuzzy feature evaluation and dimensionality reduction results in better performance and validity indices for the discovered clusters.
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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. (arXiv:1509.00838v1 [cs.CL])
We present an end-to-end, domain-independent neural encoder-aligner-decoder model for selective generation, i.e., the joint task of content selection and surface realization. Our model first encodes the full set of over-determined database event records (e.g., in weather forecasting and sportscasting) via a memory-based recurrent neural network (LSTM), then utilizes a novel coarse-to-fine (hierarchical), multi-input aligner to identify the small subset of salient records to talk about, and finally employs a decoder to generate free-form descriptions of the aligned, selected records. Our model achieves up to 54% relative improvement over the current state-of-the-art on the benchmark WeatherGov dataset, despite using no specialized features or resources. Using a simple k-nearest neighbor beam helps further. Finally, we also demonstrate the generalizability of our method on the RoboCup dataset, where it gets results that are competitive with state-of-the-art, despite being severely data-starved.
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Class-Anonymous-0.02
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Class-Anonymous-0.01
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Anonymous donor delivers check for $30000
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England a magnet for players as clubs flex financial muscle
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After hiatus, Tim Howard won't be US starter vs Mexico
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Dortmund's Grosskreutz heads to Galatasaray but can't play
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French amateur club hits jackpot with Martial move to United
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Carrard panel starts reform work for crisis-hit FIFA
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Take the Bob Ross Quiz (September 2015)
Test your knowledge of the Bob Ross TV show, painting techniques and general Bob Ross trivia!
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Bob’s Tips & Tricks (September 2015)
Bob’s Tips & Tricks (September 2015)
Click inside the box below to enlarge.
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Berbatov signs with Greek club PAOK Thessaloniki
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ISS Daily Summary Report – 09/1/15
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Government minister takes over Russian football
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Ex-Nigeria player Odegbami wants to run for FIFA president
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[FD] PayPal Inc - Security Approval & 2FA Account Auth Bypass Session Vulnerability
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FBI’s Cyber Task Force Identifies Stealthy FF-RATs used in Cyber Attack
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France to face Russia at Stade de France in March
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How to add Team Calendars with anonymous access in the Dashboard
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Distant Neutrinos Detected Below Antarctic Ice
Tuesday, September 1, 2015
Orioles Video: Cal Ripken Jr. honored on 20th anniversary of breaking Lou Gehrig's record prior to 11-2 loss to Rays (ESPN)
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No pressure for Japan coach ahead of World Cup qualifiers
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Australia coach retracts comments over football pay dispute
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Value function approximation via low-rank models. (arXiv:1509.00061v1 [cs.LG])
We propose a novel value function approximation technique for Markov decision processes. We consider the problem of compactly representing the state-action value function using a low-rank and sparse matrix model. The problem is to decompose a matrix that encodes the true value function into low-rank and sparse components, and we achieve this using Robust Principal Component Analysis (PCA). Under minimal assumptions, this Robust PCA problem can be solved exactly via the Principal Component Pursuit convex optimization problem. We experiment the procedure on several examples and demonstrate that our method yields approximations essentially identical to the true function.
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GR2RSS: Publishing Linked Open Commerce Data as RSS and Atom Feeds. (arXiv:1509.00190v1 [cs.IR])
The integration of Linked Open Data (LOD) content in Web pages is a challenging and sometimes tedious task for Web developers. At the same moment, most software packages for blogs, content management systems (CMS), and shop applications support the consumption of feed formats, namely RSS and Atom. In this technical report, we demonstrate an on-line tool that fetches e-commerce data from a SPARQL endpoint and syndicates obtained results as RSS or Atom feeds. Our approach combines (1) the popularity and broad tooling support of existing feed formats, (2) the precision of queries against structured data built upon common Web vocabularies like schema.org, GoodRelations, FOAF, VCard, and WGS 84, and (3) the ease of integrating content from a large number of Web sites and other data sources in RDF in general.
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Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications. (arXiv:1503.01444v2 [cs.CV] CROSS LISTED)
Robust Principal Component Analysis (RPCA) via rank minimization is a powerful tool for recovering underlying low-rank structure of clean data corrupted with sparse noise/outliers. In many low-level vision problems, not only it is known that the underlying structure of clean data is low-rank, but the exact rank of clean data is also known. Yet, when applying conventional rank minimization for those problems, the objective function is formulated in a way that does not fully utilize a priori target rank information about the problems. This observation motivates us to investigate whether there is a better alternative solution when using rank minimization. In this paper, instead of minimizing the nuclear norm, we propose to minimize the partial sum of singular values, which implicitly encourages the target rank constraint. Our experimental analyses show that, when the number of samples is deficient, our approach leads to a higher success rate than conventional rank minimization, while the solutions obtained by the two approaches are almost identical when the number of samples is more than sufficient. We apply our approach to various low-level vision problems, e.g. high dynamic range imaging, motion edge detection, photometric stereo, image alignment and recovery, and show that our results outperform those obtained by the conventional nuclear norm rank minimization method.
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Orioles: Cal Ripken Jr. believes his record of 2,632 consecutive games can be broken, but doesn't have candidate in mind (ESPN)
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Boavista introduces Rivaldo's son as its newest player
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Transfer window: Club rifts, failed moves, record spend
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honeysuckle
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[FD] KL-001-2015-004 : XGI Windows VGA Display Manager Arbitrary Write Privilege Escalation
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Uruguay set to rescind rights deal over bribery probe
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[FD] KL-001-2015-003 : SiS Windows VGA Display Manager Multiple Privilege Escalation
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United-Madrid blame game after De Gea deadline-day debacle
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[FD] [CORE-2015-0013] - FortiClient Antivirus Multiple Vulnerabilities
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