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JMLR
2012
11 years 9 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 20 days ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
ICSR
2009
Springer
14 years 1 months ago
Feature-Driven and Incremental Variability Generalization in Software Product Line
In the lifecycle of a software product line (SPL), incremental generalization is usually required to extend the variability of existing core assets to support the new or changed ap...
Liwei Shen, Xin Peng, Wenyun Zhao
FOAL
2009
ACM
14 years 1 months ago
A machine-checked model of safe composition
Programs of a software product line can be synthesized by composing features which implement some unit of program functionality. In most product lines, only some combination of fe...
Benjamin Delaware, William R. Cook, Don S. Batory
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
14 years 1 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...