Sciweavers

290 search results - page 38 / 58
» Learning hierarchical similarity metrics
Sort
View
ECML
1991
Springer
13 years 11 months ago
Learning by Analogical Replay in PRODIGY: First Results
Robust reasoning requires learning from problem solving episodes. Past experience must be compiled to provide adaptation to new contingencies and intelligent modification of solut...
Manuela M. Veloso, Jaime G. Carbonell
ML
2010
ACM
124views Machine Learning» more  ML 2010»
13 years 6 months ago
Large scale image annotation: learning to rank with joint word-image embeddings
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
Jason Weston, Samy Bengio, Nicolas Usunier
ICIP
2007
IEEE
14 years 9 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
14 years 1 months ago
Imitation Learning of Whole-Body Grasps
Abstract— A system is detailed here for using imitation learning to teach a robot to grasp objects using both hand and wholebody grasps, which use the arms and torso as well as h...
Kaijen Hsiao, Tomás Lozano-Pérez
SEKE
2004
Springer
14 years 27 days ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...