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TASLP
2002
84views more  TASLP 2002»
13 years 7 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
AAAI
1994
13 years 9 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
BMCBI
2005
159views more  BMCBI 2005»
13 years 7 months ago
Columba: an integrated database of proteins, structures, and annotations
Background: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features,...
Silke Trißl, Kristian Rother, Heiko Mül...
IROS
2006
IEEE
127views Robotics» more  IROS 2006»
14 years 1 months ago
Learning Predictive Features in Affordance based Robotic Perception Systems
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...
Gerald Fritz, Lucas Paletta, Ralph Breithaupt, Eri...
ICPR
2008
IEEE
14 years 8 months ago
Fingerprint indexing based on composite set of reduced SIFT features
Most of current fingerprint indexing schemes utilize features based on global textures and minutiae structures. To extend the existing technology of feature extraction, this paper...
Xin Shuai, Chao Zhang, Pengwei Hao