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» Learning Visual Attributes
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138
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MICAI
2004
Springer
15 years 8 months ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
118
Voted
TFS
2011
194views Education» more  TFS 2011»
14 years 9 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
132
Voted
ICML
2005
IEEE
16 years 3 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
184
Voted
CVPR
2012
IEEE
13 years 5 months ago
Leveraging category-level labels for instance-level image retrieval
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
Albert Gordo, José A. Rodríguez-Serr...
ISSS
2002
IEEE
130views Hardware» more  ISSS 2002»
15 years 7 months ago
System-Level Modeling of a Network Switch SoC
We present the modeling of the high-level design of a next generation network switch from the perspective of a ComputerAided Design (CAD) team within the larger context of a desig...
Andrew S. Cassidy, Christopher P. Andrews, Donald ...