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» Selection in the Presence of Noise
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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 11 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
ISMB
2000
14 years 11 months ago
Pattern Recognition of Genomic Features with Microarrays: Site Typing of Mycobacterium Tuberculosis Strains
Mycobacterium tuberculosis (M. tb.) strains differ in the number and locations of a transposon-like insertion sequence known as IS6110. Accurate detection of this sequence can be ...
Soumya Raychaudhuri, Joshua M. Stuart, Xuemin Liu,...
TIT
2002
72views more  TIT 2002»
14 years 9 months ago
Entanglement-assisted capacity of a quantum channel and the reverse Shannon theorem
The entanglement-assisted classical capacity of a noisy quantum channel ( ) is the amount of information per channel use that can be sent over the channel in the limit of many uses...
Charles H. Bennett, Peter W. Shor, John A. Smolin,...
COLING
2002
14 years 9 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi
ICPR
2000
IEEE
15 years 11 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland