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» Learning semantic object parts for object categorization
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219
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CVPR
2011
IEEE
14 years 9 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
CORR
2006
Springer
102views Education» more  CORR 2006»
15 years 5 months ago
Similarity of Objects and the Meaning of Words
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Rudi Cilibrasi, Paul M. B. Vitányi
ICALT
2008
IEEE
16 years 8 days ago
Competency-Based Intelligent Curriculum Sequencing Using Particle Swarms
As a part of many e-learning initiatives, a set of learning units must be arranged in a particular order to meet the learners’ requirements. This process is known as sequencing ...
Luis de Marcos, Roberto Barchino, José-Javi...
COLT
2007
Springer
15 years 12 months ago
Property Testing: A Learning Theory Perspective
Property testing deals with tasks where the goal is to distinguish between the case that an object (e.g., function or graph) has a prespecified property (e.g., the function is li...
Dana Ron
169
Voted
SIGSOFT
2009
ACM
16 years 18 days ago
Graph-based mining of multiple object usage patterns
The interplay of multiple objects in object-oriented programming often follows specific protocols, for example certain orders of method calls and/or control structure constraints...
Tung Thanh Nguyen, Hoan Anh Nguyen, Nam H. Pham, J...