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NIPS
1998
13 years 6 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
FLAIRS
2007
13 years 7 months ago
Memory-Prediction Framework for Pattern Recognition: Performance and Suitability of the Bayesian Model of Visual Cortex
This paper explores an inferential system for recognizing visual patterns. The system is inspired by a recent memoryprediction theory and models the high-level architecture of the...
Saulius Juozas Garalevicius
FSS
2008
147views more  FSS 2008»
13 years 5 months ago
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (M...
Marcos Eduardo Valle, Peter Sussner
DATE
2010
IEEE
113views Hardware» more  DATE 2010»
13 years 10 months ago
PM-COSYN: PE and memory co-synthesis for MPSoCs
—Multi-Processor System-on-Chips (MPSoCs) exploit task-level parallelism to achieve high computation throughput, but concurrent memory accesses from multiple PEs may cause memory...
Yi-Jung Chen, Chia-Lin Yang, Po-Han Wang
ACCV
2009
Springer
14 years 7 hour ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo