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» Hilbert Space Embeddings of Hidden Markov Models
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TIP
2008
169views more  TIP 2008»
13 years 7 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
AAAI
2006
13 years 8 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams
TWC
2011
291views more  TWC 2011»
13 years 2 months ago
On Optimal Cooperator Selection Policies for Multi-Hop Ad Hoc Networks
Abstract—In this paper we consider wireless cooperative multihop networks, where nodes that have decoded the message at the previous hop cooperate in the transmission toward the ...
Michele Rossi, Cristiano Tapparello, Stefano Tomas...
ICML
2007
IEEE
14 years 8 months ago
A recursive method for discriminative mixture learning
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Minyoung Kim, Vladimir Pavlovic
ISM
2006
IEEE
187views Multimedia» more  ISM 2006»
14 years 1 months ago
Camera View-Based American Football Video Analysis
We present a top-down statistical modeling approach to explore the semantic structure in the American football video. First, a semantic space is defined where the video semantic ...
Yi Ding, Guoliang Fan