961 citations · 1.6k across the 9 of their papers we have counts for
10 papers
Finding New Diagnostic Information for Detecting Glaucoma using Neural Networks
Erfan Noury, Suria S. Mannil, Robert T. Chang +10
We describe a new approach to automated Glaucoma detection in 3D Spectral Domain Optical Coherence Tomography (OCT) optic nerve scans. First, we gathered a unique and diverse multi…
FusionNet: 3D Object Classification Using Multiple Data Representations
Vishakh Hegde, Reza Zadeh
High-quality 3D object recognition is an important component of many vision and robotics systems. We tackle the object recognition problem using two data representations, to achiev…
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph Bradley, Burak Yavuz +13
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's ope…
Factorbird - a Parameter Server Approach to Distributed Matrix Factorization
Sebastian Schelter, Venu Satuluri, Reza Zadeh
We present Factorbird, a prototype of a parameter server approach for factorizing large matrices with Stochastic Gradient Descent-based algorithms. We designed Factorbird to meet t…
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
Trevor Hastie, Rahul Mazumder, Jason Lee +1
The matrix-completion problem has attracted a lot of attention, largely as a result of the celebrated Netflix competition. Two popular approaches for solving the problem are nuclea…
Generalized Low Rank Models
Madeleine Udell, Corinne Horn, Reza Zadeh +1
Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data se…
Dimension Independent Matrix Square using MapReduce
Reza Bosagh Zadeh, Gunnar Carlsson
We compute the singular values of an sparse matrix in a distributed setting, without communication dependence on , which is useful for very large . In partic…
Characterizing Properties for Q-Clustering
Reza Bosagh Zadeh, Gunnar Carlsson
We uniquely characterize two members of the Q-Clustering family in an axiomatic framework. We introduce properties that use known tree constructions for the purpose of characteriza…
Dimension Independent Similarity Computation
Reza Bosagh Zadeh, Ashish Goel
We present a suite of algorithms for Dimension Independent Similarity Computation (DISCO) to compute all pairwise similarities between very high dimensional sparse vectors. All of…
A Uniqueness Theorem for Clustering
Reza Bosagh Zadeh, Shai Ben-David
Despite the widespread use of Clustering, there is distressingly little general theory of clustering available. Questions like "What distinguishes a clustering of data from other d…