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ICPR
2008
IEEE
16 years 7 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
ICMCS
2007
IEEE
183views Multimedia» more  ICMCS 2007»
16 years 9 days ago
Facial Expression Recognition using Encoded Dynamic Features
In this paper, we propose a new approach of facial expression recognition. In order to capture the temporal characteristic of facial expressions, we design dynamic haar-like featu...
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
16 years 5 days ago
A simulation of evolved autotrophic reproduction
In this experiment we evolve reproductive behaviors for a simulated vehicle. Future work will employ the resulting behaviors to populate a simulated ecosystem. Categories and Subj...
Correy Allen Kowall, Brian J. Krent
IBPRIA
2007
Springer
16 years 5 days ago
Parsimonious Kernel Fisher Discrimination
Abstract. By applying recent results in optimization transfer, a new algorithm for kernel Fisher Discriminant Analysis is provided that makes use of a non-smooth penalty on the coe...
Kitsuchart Pasupa, Robert F. Harrison, Peter Wille...
COLT
2005
Springer
15 years 11 months ago
Trading in Markovian Price Models
We examine a Markovian model for the price evolution of a stock, in which the probability of local upward or downward movement is arbitrarily dependent on the current price itself...
Sham M. Kakade, Michael J. Kearns