Multi-objective Genetic Programming for Visual Analytics Ilknur Icke1 and Andrew Rosenberg1,2 1 The Graduate Center, The City University of New York,

Source URL: eniac.cs.qc.cuny.edu

• Multivariate statistics
• Dimension reduction
• Statistical classification
• Machine learning
• Principal component analysis
• Dimensionality reduction
• K-nearest neighbors algorithm
• Feature extraction
• Curse of dimensionality
• Linear discriminant analysis
• Multidimensional scaling
• Kernel principal component analysis

Scaling SMB for Server 2012 with RDMA over Ethernet The release of Windows Server 2012 is expected to be one of the largest, most feature rich Server Operating System releases for Microsoft. Besides a new user interface,

Source URL: www.chelsio.com

• Supercomputers
• Computer networks
• SCSI
• Computer memory
• IWARP
• Windows Server
• Remote direct memory access
• TCP offload engine
• Hyper-V
• LIO
• ISCSI
• InfiniBand

Project 3 Filter 2.1 This filter is pretty straightforward. All it has to do is invert the color of each pixel in the selected area. You should invert each of the red, green, and blue channels

Source URL: cs.brown.edu

• Image processing
• Feature detection
• Gaussian function
• Signal processing
• Filter theory
• Gaussian blur
• Bilateral filter
• Edge detection
• Filter
• Kernel
• Image scaling
• Photographic filter

Scaling up Inverse Reinforcement Learning through Instructed Feature Construction Tomas Singliar Dragos D. Margineantu Boeing Research & Technology P.O. Box 3707, M/C 7L-44

Source URL: snowbird.djvuzone.org

TPAMI SPECIAL ISSUE SUBMISSION UNDER REVIEW 1 Scaling up Spike-and-Slab Models for Unsupervised Feature Learning

Source URL: www-etud.iro.umontreal.ca

FEATURE TEAM PRIMER by Craig Larman and Bas Vodde Version 1.1 Feature teams and Requirement Areas are key elements of scaling lean and agile development. They are analyzed in depth in the Feature Team and Requirement Are

Source URL: featureteamprimer.org

• Business
• Software project management
• Management
• Agile software development
• Agile
• Scrum
• Craig Larman
• Feature-driven development
• Iterative and incremental development
• Project management
• Software development
• Technology

Fast and Adaptive Online Training of Feature-Rich Translation Models Spence Green, Sida Wang, Daniel Cer, and Christopher D. Manning Computer Science Department, Stanford University {spenceg,sidaw,danielcer,manning}@stan

Source URL: nlp.stanford.edu

• Statistical classification
• Neural networks
• Dimension reduction
• Feature selection
• Model selection
• Perceptron
• Feature scaling
• BLEU
• Algorithm
• Statistics
• Machine learning
• Artificial intelligence

Component-based discriminative classification for hidden Markov models

Source URL: profs.sci.univr.it

• Markov models
• Linear classifier
• Hidden Markov model
• Perceptron
• Pattern recognition
• Feature scaling
• Support vector machine
• Speech recognition
• Fisher kernel
• Statistics
• Machine learning
• Statistical classification

Feature Article Optimal-Scaling-Factor Assignment for Patch-wise Image Retargeting Yun Liang ■ South China Agricultural University

Source URL: users.cecs.anu.edu.au

• Seam carving
• Segmentation
• Edge detection
• Curve
• Texture synthesis
• Space
• Mathematics
• Image processing
• Geometry
• Structural similarity

Fast and Adaptive Online Training of Feature-Rich Translation Models Spence Green, Sida Wang, Daniel Cer, and Christopher D. Manning Computer Science Department, Stanford University {spenceg,sidaw,danielcer,manning}@stan

Source URL: dmcer.net

• Statistical classification
• Neural networks
• Dimension reduction
• Feature selection
• Model selection
• Perceptron
• Feature scaling
• BLEU
• Algorithm
• Statistics
• Machine learning
• Artificial intelligence