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» A Neural Model of Human Object Recognition Development
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ECAI
2000
Springer
14 years 1 months ago
Activity Recognition from Video Sequences using Declarative Models
Abstract. We propose here a new approach for video sequence interpretation based on declarative models of activities. The aim of the video sequence interpretation is to recognize i...
Nathanaël Rota, Monique Thonnat
ICASSP
2011
IEEE
13 years 21 days ago
Discriminative Training for direct minimization of deletion, insertion and substitution errors
In this paper, we follow the minimum error principle for acoustic modeling and formulate error objectives in insertion, deletion, and substitution separately for minimization duri...
Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang
SIGITE
2004
ACM
14 years 2 months ago
Implementation of object-orientation using UML in entry level software development courses
In this paper, we establish the need (based on literature and anecdotal evidence) for an infrastructure for CS1 courses to visually support problem solving from the initial proble...
Mohammad H. N. Tabrizi, Carol B. Collins, E. Ozan,...
ICB
2009
Springer
134views Biometrics» more  ICB 2009»
14 years 3 months ago
A Model Based Approach for Expressions Invariant Face Recognition
This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach. The features extracted for the face image sequen...
Zahid Riaz, Christoph Mayer, Matthias Wimmer, Mich...
ICCV
1995
IEEE
14 years 16 days ago
Facial Expression Recognition Using a Dynamic Model and Motion Energy
Previous efforts at facial expression recognition have been based on the Facial Action Coding System (FACS), a representation developed in order to allow human psychologists to co...
Irfan A. Essa, Alex Pentland