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Dissociated Dipoles: Image representation via non-local comparisons
(2003-08-13)
A fundamental question in visual neuroscience is how to represent image structure. The most common representational schemes rely on differential operators that compare adjacent image regions. While well-suited to encoding ...
Exact Solution of the Nonlinear Dynamics of Recurrent Neural Mechanisms for Direction Selectivity
(2002-08-01)
Different theoretical models have tried to investigate the feasibility of recurrent neural mechanisms for achieving direction selectivity in the visual cortex. The mathematical analysis of such models has been restricted ...
Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions
(2002-08-01)
The visual recognition of complex movements and actions is crucial for communication and survival in many species. Remarkable sensitivity and robustness of biological motion perception have been demonstrated in ...
Modeling Stock Order Flows and Learning Market-Making from Data
(2002-06-01)
Stock markets employ specialized traders, market-makers, designed to provide liquidity and volume to the market by constantly supplying both supply and demand. In this paper, we demonstrate a novel method for modeling ...
Bagging Regularizes
(2002-03-01)
Intuitively, we expect that averaging --- or bagging --- different regressors with low correlation should smooth their behavior and be somewhat similar to regularization. In this note we make this intuition precise. ...
Investigating shape representation in area V4 with HMAX: Orientation and Grating selectivities
(2003-09-08)
The question of how shape is represented is of central interest to understanding visual processing in cortex. While tuning properties of the cells in early part of the ventral visual stream, thought to be responsible for ...
Pyramid Match Kernels: Discriminative Classification with Sets of Image Features
(2005-03-17)
Discriminative learning is challenging when examples are setsof local image features, and the sets vary in cardinality and lackany sort of meaningful ordering. Kernel-based classificationmethods can learn complex decision ...
Contextual Influences on Saliency
(2004-04-14)
This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...
Cascading Regularized Classifiers
(2004-04-21)
Among the various methods to combine classifiers, Boosting was originally thought as an stratagem to cascade pairs of classifiers through their disagreement. I recover the same idea from the work of Niyogi et al. to show ...
Biologically-Inspired Robust Spatial Programming
(2005-01-18)
Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected ...