Since the last Nuit Blanche in Review ( September 2014 ), we had another Way of Reading Nuit Blanche, saw Once Thought Impossible Computations, read a few Blogs in 78 Summer Hours and found quite a few implementations:
- Non-linear Causal Inference using Gaussianity Measures
- BRTF: Robust Bayesian Tensor Factorization for Incomplete Multiway Data
- SparsePR: Robust Sparse Phase Retrieval Made Easy
- Compressed Manifold Modes for Mesh Processing
- On Sparse Representation in Fourier and Local Bases
- RQS (Read Quality-score Sparsifier): Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification
- Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images
- Generalized Low Rank Models - implementations in Julia and Spark -
- Coreset and PCA: Distributed k-Means and k-Median Clustering on General Topologies
In-depth subjects:
- Higher Criticism for Large-Scale Inference: especially for Rare and Weak effects
- A Bird's eye view of Compressive Sensing, Advanced matrix Factorization, Randomized Numerical Linear Algebra, Big Data and more ...
- Adaptive Compressed Sensing for Estimation of Structured Sparse Sets
- On Sparse Representation in Fourier and Local Bases
- On the Effective Measure of Dimension in the Analysis Cosparse Model
- MONGOOSE: An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network models
- Book: "Foundations of Data Science" by John Hopcroft and Ravindran Kannan
- Books: "Foundations of Signal Processing" and "Fourier and Wavelet Signal Processing"
- Thesis: Approximate Message Passing Algorithms for Generalized Bilinear Inference, Jason Parker
- Thesis: On optimal Sampling in low and high dimension, Alexandra Carpentier
- Ce soir: Paris Machine Learning #2 Season 2: : Learning Causality, Words, the Higgs & more.
- NYC Event: “How the Age of Machine Consciousness is Transforming Our Lives”
- Saturday Morning Video: Ravi Kannan -- Foundations of Data Science
- Slides and a Video: Sensor Signal Processing for Defence (SSPD) 2014
- Videos: MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
- Slides: MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
- Proceedings: iTWIST'14, SAHD London 2014, MaxEnt '14
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