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ICCV
2009
IEEE
16 years 11 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
16 years 7 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
ICMCS
2006
IEEE
197views Multimedia» more  ICMCS 2006»
16 years 22 days ago
Identify Sports Video Shots with "Happy" or "Sad" Emotions
Semantic video content extraction and selection are critical steps in sports video analysis and editing. The identification of video segments can be from various semantic perspec...
Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing...
SIP
2003
15 years 8 months ago
Object Structure from Noisy Images
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...
Gabriele Peters
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
15 years 7 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen