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SCIA
2005
Springer
211views Image Analysis» more  SCIA 2005»
15 years 3 months ago
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
Lucas Paletta, Gerald Fritz, Christin Seifert
VIS
2007
IEEE
239views Visualization» more  VIS 2007»
15 years 11 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
ACSC
2005
IEEE
15 years 3 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
MTA
2002
195views more  MTA 2002»
14 years 9 months ago
Shot Partitioning Based Recognition of TV Commercials
Digital video applications exploit the intrinsic structure of video sequences. In order to obtain and represent this structure for video annotation and indexing tasks, the main ini...
Juan María Sánchez, Xavier Binefa, J...
94
Voted
NIPS
2004
14 years 11 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes