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ICPR
2008
IEEE
15 years 3 months ago
Radical based fine trajectory HMMs of online handwritten characters
We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
Peng Liu, Lei Ma, Frank K. Soong
67
Voted
MMSEC
2004
ACM
145views Multimedia» more  MMSEC 2004»
15 years 2 months ago
Improving LSB steganalysis using marginal and joint probabilistic distributions
The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images th...
Benoit Roue, Patrick Bas, Jean-Marc Chassery
BMVC
2001
14 years 12 months ago
Classifying Surveillance Events from Attributes and Behaviour
In order to develop a high-level description of events unfolding in a typical surveillance scenario, each successfully tracked event must be classified into type and behaviour. I...
Paolo Remagnino, Graeme A. Jones
EJASMP
2011
14 years 1 months ago
Phoneme and Sentence-Level Ensembles for Speech Recognition
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
Christos Dimitrakakis, Samy Bengio
104
Voted
ECCV
2008
Springer
15 years 11 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater