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CVPR
2000
IEEE
16 years 6 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 4 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
CIIA
2009
15 years 5 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ECMDAFA
2006
Springer
166views Hardware» more  ECMDAFA 2006»
15 years 8 months ago
Dynamic Logic Semantics for UML Consistency
Abstract. The Unified Modelling Language (UML) is intended to describe systems, but it is not clear what systems satisfy a given collection of UML diagrams. Stephen Mellor has desc...
Greg O'Keefe
CORR
2012
Springer
187views Education» more  CORR 2012»
14 years 6 days ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä