136 search results - page 2 / 28 » Hidden Dynamic Probabilistic Models for Labeling Sequence Da... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
CVIU
2006
13 years 5 months ago
2006
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
ICML
2004
IEEE
13 years 10 months ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...