Picks
- Bourdieus Food Space chart, from fast food to French Laundry from FlowingData
- Crayons to Computers from The Endeavour
- Synchronized Swimming in Data and the Water Metaphor from FlowingData
Other News
- 'Moneyball' for government policy from Revolutions
- A hybrid optimization approach for vector quantization -implementation- from Nuit Blanche
- Belief in hell is associated with lower crime rates from Statistical Modeling, Causal Inference, and Social Science
- Denial of Service Attacks against Hospitals and Emergency Rooms from DecisionStats
- FDA: R OK for drug trials from Revolutions
- From Tribes to Digital Networks from Chemoton Vitorino Ramos' research notebook
- German Federal Ministry of the Interior sponsors LibreOffice Conference from DecisionStats
- KL1p : Sparse Recovery of Underdetermined Inverse Problems -implementation- from Nuit Blanche
- Legal Information Engineering & Technology (with Economics of Tech + Design) Part of the MSU/Westminster 21st Century Law Practice Summer Program London 2012 from Computational Legal Studies
- More on the Terminology of Averages, Means, and Expectations from LingPipe Blog
- New Implementations of Mallat's Scattering transform from Nuit Blanche
- Newness in SF Area from my slice of pizza
- Nice Prime! from Walking Randomly
- Patch Foveation in Nonlocal Imaging -implementation- from Nuit Blanche
- PhaseCut: Phase Recovery, MaxCut and Complex Semidefinite Programming - implementation - from Nuit Blanche
- Poisson noise reduction with non-local PCA -implementation- from Nuit Blanche
- Sparse Representation-Based/Exemplar-Based methods for Noise Robust Automatic Speech recognition (ASR) - implementation - from Nuit Blanche
- The Ketchup Problem from Computational Complexity
- The oDesk Flower: Playing with Visualizations from A Computer Scientist in a Business School
- Top 10 excuses to avoid business rules: #7 why do I need more technology? from JT on EDM
- VSNR: Variational Stationary Noise Remover -implementation- from Nuit Blanche
- Will Tiger Woods catch Jack Nicklaus? And a discussion of the virtues of using continuous data even if your goal is discrete prediction from Statistical Modeling, Causal Inference, and Social Science
