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NIPS
2004
15 years 8 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
CVPR
2005
IEEE
16 years 8 months ago
A High Resolution Grammatical Model for Face Representation and Sketching
In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...
Zijian Xu, Hong Chen, Song Chun Zhu
MICCAI
2007
Springer
16 years 7 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
CODES
2009
IEEE
15 years 10 months ago
Cycle count accurate memory modeling in system level design
In this paper, we propose an effective automatic generation approach for a Cycle-Count Accurate Memory Model (CCAMM) from the Clocked Finite State Machine (CFSM) of the Cycle Accu...
Yi-Len Lo, Mao Lin Li, Ren-Song Tsay
CVPR
2012
IEEE
13 years 9 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin