Penio S. Penev

发表

LOCAL FEATURE ANALYSIS: A FLEXIBLE STATISTICAL FRAMEWORK F OR DIMENSIONALITY REDUCTION BY SPARSIFICATION OF NATURALIST IC SOUND

Penio S. Penev, Liubomire G. Iordanov, 2000 .

Using vector quantization to build nonlinear factorial models of the low-dimensional independent manifolds in optical imaging data

Ehud Kaplan, Penio S. Penev, Manuela Gegiu, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Facial feature tracking and pose estimation in video sequences by factorial coding of the low-dimensional entropy manifolds due to the partial symmetries of faces

Penio S. Penev, Evan D. Mandel, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Optimal estimation of subband speech from nonuniform non-recurrent signal-driven sparse samples

Penio S. Penev, Liubomire G. Iordanov, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation

Penio S. Penev, 2000 .

LightSphere: fast lighting compensation for matching a 2D image to a 3D model

Sébastien Roy, A. Peter Blicher, Penio S. Penev, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Timescales for Sparseness of Natural Sound: Implications for Auditory-Symbols Processing

Ofer Tchernichovski, Penio S. Penev, Liubomire G. Iordanov, 2000 .

Characterization of and compensation for the nonstationarity of spike shapes during physiological recordings

Alexander Dimitrov, John P. Miller, Penio S. Penev, 2001, Neurocomputing.

Independent manifold analysis for subpixel tracking of local features and face recognition in video sequences

Penio S. Penev, Evan D. Mandel, Maurice Ayache, 2004, SPIE Defense + Commercial Sensing.

The global dimensionality of face space

Lawrence Sirovich, Penio S. Penev, L. Sirovich, 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

Learning a Synchronous MAP for Improved Face Recognition

Penio S. Penev, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Redundancy and Dimensionality Reduction in Sparse-Distributed Representations of Natural Objects in Terms of Their Local Features

Penio S. Penev, 2000, NIPS.

Fast Convergent Factorial Learning of the Low-Dimensional Independent Manifolds in Optical Imaging D

Penio S. Penev, 2000 .

Local feature analysis: A general statistical theory for object representation

Penio S. Penev, Penio S. Penev, Joseph J. Atick, 1996 .