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Found 6 papers, 2 papers with code
Finding New Diagnostic Information for Detecting Glaucoma using Neural Networks
We further used our model to find new areas in the 3D data that are presently not being identified as a diagnostic parameter to detect glaucoma by human doctors.
FusionNet: 3D Object Classification Using Multiple Data Representations
However, we diverge from this trend and additionally, use Volumetric CNNs to bridge the gap between the efficiency of the above two representations.
MLlib: Machine Learning in Apache Spark
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks.
Factorbird - a Parameter Server Approach to Distributed Matrix Factorization
We present Factorbird, a prototype of a parameter server approach for factorizing large matrices with Stochastic Gradient Descent-based algorithms.
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
The matrix-completion problem has attracted a lot of attention, largely as a result of the celebrated Netflix competition.
Generalized Low Rank Models
Here, we extend the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other data types.
