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COGSCI
2010
99views more  COGSCI 2010»
13 years 8 months ago
Learning to Learn Causal Models
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
ECCV
2010
Springer
14 years 1 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
FM
2003
Springer
146views Formal Methods» more  FM 2003»
14 years 1 months ago
Interacting State Machines for Mobility
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...
Thomas A. Kuhn, David von Oheimb
MOZ
2004
Springer
14 years 1 months ago
An Interactive Tool for the Controlled Execution of an Automated Timetabling Constraint Engine
Abstract. Here we introduce DePathos, a graphical tool for a timetabling constraint engine (Pathos). Since the core of Pathos is textbased and provides little user-interaction, fi...
Alberto Delgado, Jorge Andrés Pérez,...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 2 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong