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Riesenhuber, Jarudi, Gilad, Sinha,
Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and W...
complete descriptionhttp://hdl.handle.net/1721.1/7283
Ghahramani, Zoubin, Jordan, Michael I.,
We present a framework for learning in hidden Markov models with distributed state representations. Within this framework, we derive a learning algorithm based on the Expectation--Maximization (EM) pr...
complete descriptionhttp://hdl.handle.net/1721.1/7188
Jaakkola, Tommi S., Saul, Lawrence K., Jordan, Michael I.,
Sigmoid type belief networks, a class of probabilistic neural networks, provide a natural framework for compactly representing probabilistic information in a variety of unsupervised and supervised lea...
complete descriptionhttp://hdl.handle.net/1721.1/7189
Betke, Margrit, Makris, Nicholas,
A fast simulated annealing algorithm is developed for automatic object recognition. The normalized correlation coefficient is used as a measure of the match between a hypothesized object and an image....
complete descriptionhttp://hdl.handle.net/1721.1/7199
Serre, Thomas, Heisele, Bernd, Mukherjee, Sayan, Poggio, Tomaso,
We present a new method to select features for a face detection system using Support Vector Machines (SVMs). In the first step we reduce the dimensionality of the input space by projecting the data in...
complete descriptionhttp://hdl.handle.net/1721.1/7232
Miyano, Takaya, Girosi, Federico,
Global temperature variations between 1861 and 1984 are forecast usingsregularization networks, multilayer perceptrons and linearsautoregression. The regularization network, optimized by stochasticsgr...
complete descriptionhttp://hdl.handle.net/1721.1/7208
Pontil, Massimiliano, Rifkin, Ryan, Evgeniou, Theodoros,
We study the relation between support vector machines (SVMs) for regression (SVMR) and SVM for classification (SVMC). We show that for a given SVMC solution there exists a SVMR solution which is equiv...
complete descriptionhttp://hdl.handle.net/1721.1/7258
Riesenhuber, Maximilian,
Baylis & Driver (Nature Neuroscience, 2001) have recently presented data on the response of neurons in macaque inferotemporal cortex (IT) to various stimulus transformations. They report that neurons ...
complete descriptionhttp://hdl.handle.net/1721.1/7265
Shadmehr, Reza, Mussa-Ivaldi, Ferdinando,
The objects with which the hand interacts with may significantly change the dynamics of the arm. How does the brain adapt control of arm movements to this new dynamic? We show that adaptation is via c...
complete descriptionhttp://hdl.handle.net/1721.1/7210
Shashua, Amnon,
We investigate the differences --- conceptually and algorithmically --- between affine and projective frameworks for the tasks of visual recognition and reconstruction from perspective views. It is sh...
complete descriptionhttp://hdl.handle.net/1721.1/7216