Face landmarking, defined as the detection and localization of certain characteristic points
on the face, is an important intermediary step for many subsequent face processing …

A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse
coding is presented. In addition to using class labels of training data, we also associate label …

Local feature descriptor is an important module for face recognition and those like Gabor
and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form …

Traditional biometric recognition systems rely on a single biometric signature for
authentication. While the advantage of using multiple sources of information for establishing …

Human action recognition based on the depth information provided by commodity depth
sensors is an important yet challenging task. The noisy depth maps, different lengths of …

We propose a novel method for the automatic segmentation of brain MRI images by using
discriminative dictionary learning and sparse coding techniques. In the proposed method …

Data-driven dictionaries have produced state-of-the-art results in various classification tasks.
However, when the target data has a different distribution than the source data, the learned …

The success of sparse representation based classification (SRC) has largely boosted the
research of sparsity based face recognition in recent years. A prevailing view is that the …

Sparse representation and learning has been widely used in computational intelligence,
machine learning, computer vision and pattern recognition, etc. Mathematically, solving …

By representing the input testing image as a sparse linear combination of the training
samples via l1-norm minimization, sparse representation based classification (SRC) has …