Browsing School of Computational Science and Engineering Technical Reports by Issue Date
Now showing items 21-37 of 37
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Non-Negative Matrix Factorization Based on Alternating Non-Negativity Constrained Least Squares and Active Set Method
(Georgia Institute of Technology, 2007) -
Fast Linear Discriminant Analysis using QR Decomposition and Regularization
(Georgia Institute of Technology, 2007-03-23)Linear Discriminant Analysis (LDA) is among the most optimal dimension reduction methods for classification, which provides a high degree of class separability for numerous applications from science and engineering. ... -
Sparse Nonnegative Matrix Factorization for Clustering
(Georgia Institute of Technology, 2008)Properties of Nonnegative Matrix Factorization (NMF) as a clustering method are studied by relating its formulation to other methods such as K-means clustering. We show how interpreting the objective function of K-means ... -
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
(Georgia Institute of Technology, 2008)Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer class discovery. The mathematical formulation ... -
SNARE: Spatio-temporal Network-level Automatic Reputation Engine
(Georgia Institute of Technology, 2008)Current spam filtering techniques classify email based on content and IP reputation blacklists or whitelists. Unfortunately, spammers can alter spam content to evade content based filters, and spammers continually change ... -
Detecting Communities from Given Seeds in Social Networks
(Georgia Institute of Technology, 2011-02-22)Analyzing massive social networks challenges both high-performance computers and human under- standing. These massive networks cannot be visualized easily, and their scale makes applying complex analysis methods ... -
A Roofline Model of Energy
(Georgia Institute of Technology, 2012)We describe an energy-based analogue of the time-based roofline model of Williams, Waterman, and Patterson (Comm. ACM, 2009). Our goal is to explain—in simple, analytic terms accessible to algorithm designers and ... -
Mage: Expressive Pattern Matching in Richly-Attributed Graphs
(Georgia Institute of Technology, 2013)Given a large graph with millions of nodes and edges, say a social graph where both the nodes and edges can have multiple different kinds of attributes (e.g., job titles, tie strengths), how do we quickly find matches ... -
Visualize It-Wise! An Iteration-Wise Computational Framework for Real-Time Visual Analytics
(Georgia Institute of Technology, 2013)Abstract Visual analytics has been gaining increasing interest due to its fascinating characteristic that leverages both humans’ visual perception and the power of computing. Although various computational methods are ... -
A Better World for All: Understanding and Promoting Micro-finance Activities in Kiva.org
(Georgia Institute of Technology, 2013)Micro-finance organizations provide non-profit loaning opportunities to eradicate poverty by financially equipping impoverished, yet skilled entrepreneurs who are in desperate need of an institution that lends to those ... -
PIVE: A Per-Iteration Visualization Environment for Supporting Real-time Interactions with Computational Methods
(Georgia Institute of Technology, 2013)Visual analytics has been gaining increasing interest due to its fascinating characteristic that leverages both humans’ visual perception and the power of computing. Although various computational methods are being proposed, ... -
To Gather Together for a Better World: Understanding and Leveraging Communities in Micro-lending Recommendation
(Georgia Institute of Technology, 2013)Micro-finance organizations provide non-profit lending opportunities to mitigate poverty by financially supporting impoverished, yet skilled entrepreneurs who are in desperate need of an institution that lends to them. ... -
MMAP: Mining Billion-Scale Graphs on a PC with Fast, Minimalist Approach via Memory Mapping
(Georgia Institute of Technology, 2013)Large graphs with billions of nodes and edges are increasingly common, calling for new kinds of scalable computation frameworks. State-of-the-art approaches such as GraphChi and TurboGraph recently demonstrated that a ... -
VisIRR: Interactive Visual Information Retrieval and Recommendation for Large-scale Document Data
(Georgia Institute of Technology, 2013)We present a visual analytics system called VisIRR, which is an interactive visual information retrieval and recommendation system for document discovery. VisIRR effectively combines both paradigms of passive pull through ... -
Leveraging Memory Mapping for Fast and Scalable Graph Computation on a PC
(Georgia Institute of Technology, 2013-08)Large graphs with billions of nodes and edges are increasingly common, calling for new kinds of scalable computation frameworks. Although popular, distributed approaches can be expensive to build, or require many resources ... -
Single-tree GMM training
(Georgia Institute of Technology, 2015-05-27) -
UnMask: Adversarial Detection and Defense in Deep Learning Through Building-Block Knowledge Extraction
(Georgia Institute of Technology, 2019)Deep learning models are being integrated into a wide range of high-impact, security-critical systems, from self-driving cars to biomedical diagnosis. However, recent research has demonstrated that many of these deep ...