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KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 3 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
CORR
2011
Springer
199views Education» more  CORR 2011»
14 years 9 months ago
From Machine Learning to Machine Reasoning
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...
Léon Bottou
129
Voted
AGI
2011
14 years 6 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
CORR
2007
Springer
100views Education» more  CORR 2007»
15 years 2 months ago
Distributed Transmit Diversity in Relay Networks
Abstract— We analyze fading relay networks, where a singleantenna source-destination terminal pair communicates through a set of half-duplex single-antenna relays using a two-hop...
Cemal Akçaba, Patrick Kuppinger, Helmut B&o...
123
Voted
ICCV
2009
IEEE
16 years 7 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...