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» Large Scale Learning of Active Shape Models
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AAAI
2007
14 years 12 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
ISVC
2007
Springer
15 years 3 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
97
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WICSA
2008
14 years 11 months ago
Analyzing the Evolution of Large-Scale Software Systems Using Design Structure Matrices and Design Rule Theory: Two Exploratory
Software modularization activities remain without the guidance of formal theories and models. According to Baldwin and Clark's [1] design rule theory (DRT) , modular architec...
Matthew J. LaMantia, Yuanfang Cai, Alan MacCormack...
ICIP
2007
IEEE
15 years 3 months ago
Group Activity Recognition Based on ARMA Shape Sequence Modeling
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Ying Wang, Kaiqi Huang, Tieniu Tan
AGI
2008
14 years 11 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch