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» Experiments with a New Boosting Algorithm
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PERCOM
2010
ACM
15 years 1 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
DEXA
2010
Springer
230views Database» more  DEXA 2010»
15 years 12 days ago
Hybrid Indexing and Seamless Ranking of Spatial and Textual Features of Web Documents
Abstract. There is a significant commercial and research interest in locationbased web search engines. Given a number of search keywords and one or more locations that a user is in...
Ali Khodaei, Cyrus Shahabi, Chen Li
AAAI
2010
14 years 11 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
COLING
2010
14 years 10 months ago
An Empirical Study on Learning to Rank of Tweets
Twitter, as one of the most popular micro-blogging services, provides large quantities of fresh information including real-time news, comments, conversation, pointless babble and ...
Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, Heung...
TIP
2011
124views more  TIP 2011»
14 years 10 months ago
A Geometric Method for Optimal Design of Color Filter Arrays
—A color filter array (CFA) used in a digital camera is a mosaic of spectrally selective filters, which allows only one color component to be sensed at each pixel. The missing ...
Pengwei Hao, Yan Li, Zhouchen Lin, Eric Dubois