Search Results - "Waheed Bajwa"

Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data by Raja, Haroon, Bajwa, Waheed U.

“…This paper studies the problem of data-adaptive representations for big, distributed data. It is assumed that a number of geographically-distributed,…”
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Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels by Bajwa, Waheed U., Haupt, Jarvis, Sayeed, Akbar M., Nowak, Robert

“…High-rate data communication over a multipath wireless channel often requires that the channel response be known at the receiver. Training-based methods, which…”
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ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning by Yang, Zhixiong, Bajwa, Waheed U.

“…Distributed machine learning algorithms enable learning of models from datasets that are distributed over a network without gathering the data at a centralized…”
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FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis by Gang, Arpita, Bajwa, Waheed U.

“…Principal Component Analysis (PCA) is a fundamental data preprocessing tool in the world of machine learning. While PCA is often thought of as a dimensionality…”
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Enhancement of Risk for Lyme Disease by Landscape Connectivity, New York, New York, USA by VanAcker, Meredith C, Little, Eliza A H, Molaei, Goudarz, Bajwa, Waheed I, Diuk-Wasser, Maria A

“…Most tickborne disease studies in the United States are conducted in low-intensity residential development and forested areas, leaving much unknown about urban…”
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A Low Tensor-Rank Representation Approach for Clustering of Imaging Data by Tong Wu, Bajwa, Waheed U.

“…This letter proposes an algorithm for clustering of two-dimensional data. Instead of "flattening" data into vectors, the proposed algorithm keeps samples as…”
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Detection Theory for Union of Subspaces by Lodhi, Muhammad Asad, Bajwa, Waheed U.

“…The focus of this paper is on detection theory for union of subspaces (UoS). To this end, generalized likelihood ratio tests (GLRTs) are presented for…”
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MIMO-MC radar: A MIMO radar approach based on matrix completion by Shunqiao Sun, Bajwa, Waheed U., Petropulu, Athina P.

“…In a typical multiple-input and multiple-output (MIMO) radar scenario, the receive nodes transmit to a fusion center either samples of the target returns, or…”
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Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation by Haupt, J, Bajwa, W U, Raz, G, Nowak, R

“…Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals…”
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Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm by Dixit, Rishabh, Gurbuzbalaban, Mert, Bajwa, Waheed U.

“…Gradient-related first-order methods have become the workhorse of large-scale numerical optimization problems. Many of these problems involve nonconvex…”
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Scaling-Up Distributed Processing of Data Streams for Machine Learning by Nokleby, Matthew, Raja, Haroon, Bajwa, Waheed U.

“…Emerging applications of machine learning in numerous areas-including online social networks, remote sensing, Internet-of-Things (IoT) systems, smart grids,…”
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BRIDGE: Byzantine-Resilient Decentralized Gradient Descent by Fang, Cheng, Yang, Zhixiong, Bajwa, Waheed U.

“…Machine learning has begun to play a central role in many applications. A multitude of these applications typically also involve datasets that are distributed…”
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Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms by Ghassemi, Mohsen, Shakeri, Zahra, Sarwate, Anand D., Bajwa, Waheed U.

“…This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of…”
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Minimax Lower Bounds on Dictionary Learning for Tensor Data by Shakeri, Zahra, Bajwa, Waheed U., Sarwate, Anand D.

“…This paper provides fundamental limits on the sample complexity of estimating dictionaries for tensor data. The specific focus of this work is on…”
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Learning the Nonlinear Geometry of High-Dimensional Data: Models and Algorithms by Tong Wu, Bajwa, Waheed U.

“…Modern information processing relies on the axiom that high-dimensional data lie near low-dimensional geometric structures. This paper revisits the problem of…”
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The Gulf Coast Tick, Amblyomma maculatum (Ixodida: Ixodidae), and Spotted Fever Group Rickettsia in the Highly Urbanized Northeastern United States by Bajwa, Waheed I., Tsynman, Leonid, Egizi, Andrea M., Tokarz, Rafal, Maestas, Lauren P., Fonseca, Dina M.

“…We report the multi-year collection of the Gulf Coast tick, Amblyomma maculatum Koch (Acaridae: Ixodida: Ixodidae) in Staten Island, NewYork City (NYC) as well…”
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Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation by Gang, Arpita, Xiang, Bingqing, Bajwa, Waheed U.

“…Principal Subspace Analysis (PSA)-and its sibling, Principal Component Analysis (PCA)-is one of the most popular approaches for dimensionality reduction in…”
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Optimization for Data-Driven Learning and Control by Khan, Usman A., Bajwa, Waheed U., Nedic, Angelia, Rabbat, Michael G., Sayed, Ali H.

“…This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control…”
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Identification of Parametric Underspread Linear Systems and Super-Resolution Radar by Bajwa, W U, Gedalyahu, K, Eldar, Y C

“…Identification of time-varying linear systems, which introduce both time-shifts (delays) and frequency-shifts (Doppler-shifts), is a central task in many…”
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Local environmental and meteorological conditions influencing the invasive mosquito Ae. albopictus and arbovirus transmission risk in New York City by Little, Eliza, Bajwa, Waheed, Shaman, Jeffrey

“…Ae. albopictus, an invasive mosquito vector now endemic to much of the northeastern US, is a significant public health threat both as a nuisance biter and…”
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