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» Learning Models for Object Recognition
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IBPRIA
2007
Springer
15 years 8 months ago
Estimation of Multiple Objects at Unknown Locations with Active Contours
Abstract. This paper presents an algorithm for the estimation of multiple regions with unknown shapes and positions using multiple active contour models (ACM’s). The algorithm or...
Margarida Silveira, Jorge S. Marques
ICPR
2002
IEEE
15 years 7 months ago
Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto,...
IROS
2006
IEEE
118views Robotics» more  IROS 2006»
15 years 8 months ago
Three-Layer Model for Generation and Recognition of Attention-Drawing Behavior
- This paper presents a three-layer model for generation and recognition of attention-drawing behavior. The model enables a robot to recognize people’s attention-drawing behavior...
Osamu Sugiyama, Takayuki Kanda, Michita Imai, Hiro...
ICASSP
2011
IEEE
14 years 5 months ago
Hierarchical Latent Dirichlet Allocation models for realistic action recognition
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
Heping Li, Jie Liu, Shuwu Zhang
ICANN
2009
Springer
15 years 8 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...