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» Characteristics of Object Oriented Modeling Methods
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IJON
2002
72views more  IJON 2002»
13 years 9 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen
DAGM
2008
Springer
13 years 11 months ago
Model-Based Motion Capture for Crash Test Video Analysis
Abstract. In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on...
Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-...
ISVC
2007
Springer
14 years 4 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
MABS
1998
Springer
14 years 2 months ago
ABCDE: Agent Based Chaotic Dynamic Emergence
This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price ...
Pietro Terna
ECCV
2004
Springer
14 years 11 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs