75 citations · 126 across the 8 of their papers we have counts for
8 papers
Supervised Dictionary Learning and Sparse Representation-A Review
Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi +1
Dictionary learning and sparse representation (DLSR) is a recent and successful mathematical model for data representation that achieves state-of-the-art performance in various fie…
Greedy Column Subset Selection for Large-scale Data Sets
Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi +1
In today's information systems, the availability of massive amounts of data necessitates the development of fast and accurate algorithms to summarize these data and represent them…
A Fast Greedy Algorithm for Generalized Column Subset Selection
Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
This paper defines a generalized column subset selection problem which is concerned with the selection of a few columns from a source matrix A that best approximate the span of a t…
Discriminative Density-ratio Estimation
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
The covariate shift is a challenging problem in supervised learning that results from the discrepancy between the training and test distributions. An effective approach which recen…
Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce
Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel +1
The kernel -means is an effective method for data clustering which extends the commonly-used -means algorithm to work on a similarity matrix over complex data structures. The…
A Two-Stage Combined Classifier in Scale Space Texture Classification
Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny +1
Textures often show multiscale properties and hence multiscale techniques are considered useful for texture analysis. Scale-space theory as a biologically motivated approach may be…
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure
Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
Supervised pixel-based texture classification is usually performed in the feature space. We propose to perform this task in (dis)similarity space by introducing a new compression-b…
Kernelized Supervised Dictionary Learning
Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
In this paper, we propose supervised dictionary learning (SDL) by incorporating information on class labels into the learning of the dictionary. To this end, we propose to learn th…