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ECCV
2006
Springer
16 years 8 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
MICCAI
2001
Springer
15 years 11 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
ENTCS
2008
142views more  ENTCS 2008»
15 years 6 months ago
An Open System Operational Semantics for an Object-Oriented and Component-Based Language
Object orientation and component-based development have both proven useful for the elaboration of open distributed systems. These paradigms are offered by the Creol language. Creo...
Jasmin Christian Blanchette, Olaf Owe
ICCV
2009
IEEE
16 years 11 months ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...
HPDC
2009
IEEE
16 years 1 months ago
Maintaining reference graphs of globally accessible objects in fully decentralized distributed systems
Since the advent of electronic computing, the processors’ clock speed has risen tremendously. Now that energy efficiency requirements have stopped that trend, the number of proc...
Björn Saballus, Thomas Fuhrmann