Unsupervised part learning for visual recognition
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Software Sustainability & High Energy Physics Drift-Diffusion Dynamics and Phase Separation in Curved Cell Membranes
  and Dendritic Spines: Hybrid Discrete-Continuum Methods Extracting Spatiotemporal Demand for Public Transit from Mobility Data Averaged shelling for quasicrystals Bounding Helly numbers via Betti numbers Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow
  Simulation Criteria for the numerical constant recognition The Distributed Information Bottleneck reveals the explanatory structure
  of complex systems Machine-learning-enhanced quantum sensors for accurate magnetic field
  imaging The local balance laws for energy, momentum and entropy: how they came
  into being, and what was their destiny Kinetic helicity decay in linearly forced turbulence Detecting Transaction-based Tax Evasion Activities on Social Media
  Platforms Using Multi-modal Deep Neural Networks A density description of a bounded-confidence model of opinion dynamics
  on hypergraphs From Physics to Number Theory via Noncommutative Geometry. Part I:
  Quantum Statistical Mechanics of Q-lattices Gas dynamics in dwarf galaxies as testbeds for dark matter and galaxy
  evolution Discriminative Multi-modality Speech Recognition AI Assisted Annotator using Reinforcement Learning Unrecognized Sources of Uncertainties (USU) in Experimental Nuclear Data Knots and ones Infinitely many quasi-arithmetic maximal reflection groups Emission of Massive Scalar Fields by a Higher-Dimensional Rotating
  Black-Hole Surface diffusion and low vibrational motion with interacting
  adsorbates: A shot noise description Effective measurement height of atom gravimeters
cs.CV cs.IR