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NAACL
2004
13 years 10 months ago
Shallow Semantic Parsing using Support Vector Machines
In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Gildea and Jurafsky (2002), Surdeanu et al. (2003) and others. Our algor...
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James ...
ASM
2005
ASM
14 years 2 months ago
RAM Simulation of BGS Model of Abstract State Machines
lation of BGS model of Abstract State Machines Comandur Seshadhri1 , Anil Seth2 , and Somenath Biswas2 1 Department of Computer Science Princeton University, Princeton NJ 08544, US...
Seshadhri Comandur, Anil Seth, Somenath Biswas
NIPS
2004
13 years 10 months ago
Machine Learning Applied to Perception: Decision Images for Gender Classification
We study gender discrimination of human faces using a combination of psychophysical classification and discrimination experiments together with methods from machine learning. We r...
Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simo...
ANOR
2008
123views more  ANOR 2008»
13 years 9 months ago
An approach to predictive-reactive scheduling of parallel machines subject to disruptions
: In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based ...
Alejandra Duenas, Dobrila Petrovic
ECCV
2006
Springer
14 years 11 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...