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BC
2002
133views more  BC 2002»
13 years 9 months ago
Cortical network reorganization guided by sensory input features
Abstract. Sensory experience alters the functional organization of cortical networks. Previous studies using behavioral training motivated by aversive or rewarding stimuli have dem...
Michael P. Kilgard, Pritesh K. Pandya, Navzer D. E...
SIGCSE
2000
ACM
119views Education» more  SIGCSE 2000»
14 years 2 months ago
Bugs as features: teaching network protocols through debugging
Being exposed to well-written code is a valuable experience for students -- especially when the code is larger or more complex than they are currently capable of writing. In addit...
Brad Richards
CVPR
2011
IEEE
13 years 5 months ago
Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects
We propose to bridge the gap between Random Field (RF) formulations for joint categorization and segmentation (JCaS), which model local interactions among pixels and superpixels, ...
Dheeraj Singaraju, René, Vidal
ICASSP
2011
IEEE
13 years 1 months ago
Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR
In this paper, we extend the work done on integrating multilayer perceptron (MLP) networks with HMM systems via the Tandem approach. In particular, we explore whether the use of D...
Oriol Vinyals, Suman V. Ravuri
ICCV
2011
IEEE
12 years 9 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus