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» Modeling High-Order Dependencies in Local Appearance Models
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DICTA
2003
15 years 5 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
NECO
2007
150views more  NECO 2007»
15 years 4 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
CVPR
2007
IEEE
15 years 11 months ago
Pedestrian Detection in Infrared Images based on Local Shape Features
Use of IR images is advantageous for many surveillance applications where the systems must operate around the clock and external illumination is not always available. We investiga...
Li Zhang, Bo Wu, Ram Nevatia
CVPR
1998
IEEE
16 years 6 months ago
Histogram Model for 3D Textures
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
Kristin J. Dana, Shree K. Nayar
ICB
2009
Springer
163views Biometrics» more  ICB 2009»
15 years 9 months ago
Active Fingerprint Ridge Orientation Models
This paper proposes a statistical model for fingerprint ridge orientations. The active fingerprint ridge orientation model (AFROM) iteratively deforms to fit the orientation fi...
Surinder Ram, Horst Bischof, Josef A. Birchbauer