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» Phenomenology, Representations and Complexity
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JMLR
2012
13 years 11 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
ICPR
2008
IEEE
15 years 11 months ago
Joint visual vocabulary for animal classification
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...
ICML
2004
IEEE
15 years 10 months ago
A multiplicative up-propagation algorithm
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
CHI
1995
ACM
15 years 1 months ago
Oh what a tangled web we weave: metaphor and mapping in graphical interfaces
The relations among graphical representations, computer functionality, and everyday objects are more complex than terms like “the desktop metaphor” may suggest. While metaphor...
William W. Gaver
VIIP
2001
14 years 11 months ago
Visual Behavior Characterization for Intrusion Detection in Large Scale Systems
This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an ana...
Robert F. Erbacher