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There is a hot debate about the nature of serial dependence (SD), the tendency to judge stimulus features in a given trial as similar to the previous trial. It is often argued that SD reflects a mechanism to stabilize perception, combining features of simi ...
Gabor analysis is one of the most common instances of time-frequency signal analysis. Choosing a suitable window for the Gabor transform of a signal is often a challenge for practical applications, in particular in audio signal processing. Many time-freque ...
In serial dependence (SD), perceptual decisions are biased toward stimuli seen in the recent past. It is believed that SD originates from a perceptual prior that the world is stable and stimuli are correlated in time. Often, however, SD is observed in cond ...
We introduce a complete parameterization of the family of two-dimensional steerable wavelets that are polar-separable in the Fourier domain under the constraint of self-reversibility. These wavelets are constructed by multiorder generalized Riesz transform ...
This article deals with the use of optimal lattice and optimal window in Discrete Gabor Transform computation. In the case of a generalized Gaussian window, extending earlier contributions, we introduce an additional local window adaptation technique for n ...
In real world facial expression recognition (FER) applications, it is not practical for a user to enroll his/her facial expressions under different pose angles. Therefore, a desirable property of a FER system would be to allow the user to enroll his/her fa ...
In this paper we characterize and construct novel oversampled filter banks implementing fusion frames. A fusion frame is a sequence of orthogonal projection operators whose sum can be inverted in a numerically stable way. When properly designed, fusion fra ...
Institute of Electrical and Electronics Engineers2011
The search for robust features for face recognition in uncontrolled environments is an important topic of research. In particular, there is a high interest in Gabor-based features which have invariance properties to simple geometrical transformations. In t ...
It is well-known that the Gaussian functions and, more generally, their modulations-translations (the Gabor functions) have the unique property of being optimally localized in space and frequency in the sense of Heisenberg's uncertainty principle. In this ...
We propose a novel method for constructing wavelet transforms of functions defined on the vertices of an arbitrary finite weighted graph. Our approach is based on defining scaling using the the graph analogue of the Fourier domain, namely the spectral deco ...