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» Experiences and directions in pushpin computing
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CVPR
2010
IEEE
13 years 10 months ago
Fast directional chamfer matching
We study the object localization problem in images given a single hand-drawn example or a gallery of shapes as the object model. Although many shape matching algorithms have been ...
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Ram...
ACIVS
2006
Springer
14 years 1 months ago
Affine Epipolar Direction from Two Views of a Planar Contour
Most approaches to camera motion estimation from image sequences require matching the projections of at least 4 non-coplanar points in the scene. The case of points lying on a plan...
Maria Alberich-Carramiñana, Guillem Aleny&a...
CHI
2004
ACM
14 years 3 months ago
Haptic feedback for pen computing: directions and strategies
We seek to improve the experience of using pen computing devices by augmenting them with haptic, tactile feedback displays. We present the design of the haptic display for pen com...
Ivan Poupyrev, Makoto Okabe, Shigeaki Maruyama
IJCAI
2007
13 years 11 months ago
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
Ah-Hwee Tan
MP
2002
84views more  MP 2002»
13 years 9 months ago
A decomposition procedure based on approximate Newton directions
The efficient solution of large-scale linear and nonlinear optimization problems may require exploiting any special structure in them in an efficient manner. We describe and analy...
Antonio J. Conejo, Francisco J. Nogales, Francisco...