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» Anytime Algorithm for Feature Selection
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159
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FCSC
2007
159views more  FCSC 2007»
15 years 2 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
112
Voted
CVPR
2004
IEEE
16 years 4 months ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
15 years 11 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
139
Voted
ICDCSW
2002
IEEE
15 years 7 months ago
Real-Time Processing of Media Streams: A Case for Event-Based Interaction
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extracti...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, O...
115
Voted
MM
2009
ACM
175views Multimedia» more  MM 2009»
15 years 7 months ago
Near-duplicate video matching with transformation recognition
Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little di...
Zhipeng Wu, Shuqiang Jiang, Qingming Huang