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» Hierarchical Hidden Markov Models for Information Extraction
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TIP
2008
169views more  TIP 2008»
15 years 1 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
ISVC
2007
Springer
15 years 7 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby
WEBI
2010
Springer
14 years 11 months ago
Impacts of Analysts' Cognitive Styles on the Analytic Process
A user's cognitive style has been found to affect how they search for information, how they analyze the information, and how they make decisions in an analytical process. In ...
Eugene Santos Jr., Hien Nguyen, Fei Yu, Deqing Li,...
MM
2004
ACM
117views Multimedia» more  MM 2004»
15 years 6 months ago
Singing voice detection in popular music
We propose a novel technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. Our technique uses a combination of harmonic content a...
Tin Lay Nwe, Arun Shenoy, Ye Wang
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 1 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee