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ICCV
2005
IEEE
16 years 6 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICASSP
2010
IEEE
15 years 4 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
CHI
1997
ACM
15 years 8 months ago
MOBI-D: A Model-Based Development Environment for User-Centered Design
MOBI-D (Model-Based Interface Designer) is a software environment the design and development of user interfaces from declarative interface models. End-users informally describe ta...
Angel R. Puerta, David Maulsby
SIBGRAPI
2007
IEEE
15 years 11 months ago
Application-independent accurate mouse placements on surfaces of arbitrary geometry
Most direct manipulation tasks rely on precise placements of the cursor on the object of interest. Commonly, this requires the knowledge of distinct application-dependent geometry...
Harlen Costa Batagelo, Shin-Ting Wu
SIGGRAPH
1992
ACM
15 years 8 months ago
Surface reconstruction from unorganized points
We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1; : : : ; xng IR3 on or near an unknown manifold M, and produces as output a simplicia...
Hugues Hoppe, Tony DeRose, Tom Duchamp, John Alan ...