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» Unsupervised Learning of Invariant Features Using Video
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CAIP
2007
Springer
117views Image Analysis» more  CAIP 2007»
14 years 3 months ago
Eigenmotion-Based Detection of Intestinal Contractions
Abstract. Intestinal contractions are one of the main features for analyzing intestinal motility and detecting different gastrointestinal pathologies. In this paper we propose Eig...
Laura Igual, Santi Seguí, Jordi Vitri&agrav...
SIGIR
2011
ACM
12 years 11 months ago
Parameterized concept weighting in verbose queries
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
Michael Bendersky, Donald Metzler, W. Bruce Croft
ICPR
2010
IEEE
13 years 6 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
TCSV
2008
177views more  TCSV 2008»
13 years 8 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
CVPR
2010
IEEE
13 years 9 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah