Artificial neural networks (ANNs) have undergone a revolution, catalyzed by better
supervised learning algorithms. However, in stark contrast to young animals (including …

This article concerns the nature of evoked brain responses and the principles underlying
their generation. We start with the premise that the sensory brain has evolved to represent or …

BAM 神经网络; 局部逼近的CMAC 小脑神经网络和径向基函数RBF 神经网络;
竞争学习的自组织SOM 神经网络﹑ 对偶传播CPN 神经网络﹑ ART 自适应谐振理论及量子神经 …

In this paper, we propose an efficient algorithm, called vector field consensus, for
establishing robust point correspondences between two sets of points. Our algorithm starts …

A new edition of a classic work that originated the “embodied cognition” movement and was
one of the first to link science and Buddhist practices. This classic book, first published in …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Stereo matching is one of the most active research areas in computer vision. While a large
number of algorithms for stereo correspondence have been developed, relatively little work …

Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. A
common constraint is that the labels should vary smoothly almost everywhere while …

A snake is an energy-minimizing spline guided by external constraint forces and influenced
by image forces that pull it toward features such as lines and edges. Snakes are active …

This book provides the first comprehensive treatment of feed-forward neural networks from
the perspective of statistical pattern recognition. After introducing the basic concepts of …