Pattern Analysis and Machine Intelligence, IEEE Transactions on
Issue 8 • Date Aug. 2013
Society Sponsor
Filter Results
Displaying Results 1 - 23 of 23
-
[Front cover]
|
PDF (350 KB)
-
Cover2
|
PDF (380 KB)
-
Guest Editors' Introduction: Special Section on Learning Deep Architectures
|
PDF (142 KB)
-
-
Learning to Relate Images
|
PDF (2579 KB)
-
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
|
PDF (2441 KB)
-
Invariant Scattering Convolution Networks
|
PDF (1795 KB)
-
-
-
Learning Hierarchical Features for Scene Labeling
|
PDF (2616 KB)
-
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
|
PDF (3786 KB)
-
Tensor Deep Stacking Networks
|
PDF (1381 KB)
-
Learning with Hierarchical-Deep Models
|
PDF (2001 KB)
-
Characterizing Humans on Riemannian Manifolds
|
PDF (6650 KB)
-
-
Keeping a Pan-Tilt-Zoom Camera Calibrated
|
PDF (3930 KB)
-
-
-
-
Keep up with the Latest from IEEE Computer Society Transactions
|
PDF (1808 KB)
-
IEEE Open Access Publishing
|
PDF (1894 KB)
-
Cover3
|
PDF (380 KB)
-
Cover4
|
PDF (350 KB)
Aims & Scope
The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.
Meet Our Editors
Editor-in-Chief
Prof. Ramin Zabih
Cornell University
