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Showing 1 to 3 of 3 for “"Co-occurrence Modeling"”.

  1. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis

    Co-occurrence information is powerful statistics that can model various discrete objects by their joint instances with other objects. Transforming unsupervised problems of learning low-dimensional geometry into provable decompositions of co-occurrence information, spectral inference provides fast …

    cornell Repository record for Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis (opens in a new tab)

  2. Perceptual data mining : bootstrapping visual intelligence from tracking behavior

    One common characteristic of all intelligent life is continuous perceptual input. A decade ago, simply recording and storing a a few minutes of full frame-rate NTSC video required special hardware. Today, an inexpensive personal computer can process video in real-time tracking and recording …

    mit Repository record for Perceptual data mining : bootstrapping visual intelligence from tracking behavior (opens in a new tab)

  3. The influence of habitat features and co-occurring species on puma (Puma concolor) occupancy across eight sites in Belize, Central America

    Large carnivores play many vital biological, economic, and conservation roles, however, their biological traits (low population densities, cryptic behavior) make them difficult to monitor. Pumas have been particularly difficult to study because the lack of distinctive markings on their coats …

    vt Repository record for The influence of habitat features and co-occurring species on puma (Puma concolor) occupancy across eight sites in Belize, Central America (opens in a new tab)