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BICA
2010
15 years 1 months ago
Application Feedback in Guiding a Deep-Layered Perception Model
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Itamar Arel, Shay Berant
CVPR
2012
IEEE
13 years 8 months ago
Probabilistic tensor voting for robust perceptual grouping
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
Dian Gong, Gérard G. Medioni
EDM
2008
289views Data Mining» more  EDM 2008»
15 years 7 months ago
Developing a Log-based Motivation Measuring Tool
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
Arnon Hershkovitz, Rafi Nachmias
VMCAI
2010
Springer
16 years 3 months ago
Best Probabilistic Transformers
This paper investigates relative precision and optimality of analyses for concurrent probabilistic systems. Aiming at the problem at the heart of probabilistic model checking ? com...
Björn Wachter, Lijun Zhang
VMCAI
2009
Springer
16 years 1 months ago
Towards Automatic Stability Analysis for Rely-Guarantee Proofs
The Rely-Guarantee approach is a well-known compositional method for proving Hoare logic properties of concurrent programs. In this approach, predicates in the proof must be proved...
Hasan Amjad, Richard Bornat