Ekaterina H. Taralova

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We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various conditions in which images of objects are taken, etc. These are scenarios where unsupervised clustering produces inadequate codebooks because algorithms like K-means tend to cluster(More)
Alternaria is one of the most cosmopolitan fungal genera encountered and impacts humans and human activities in areas of material degradation, phytopathology, food toxicology, and respiratory disease. Contemporary methods of taxon identification rely on assessments of morphology related to sporulation, which are critical for accurate diagnostics. However,(More)
Building video representations typically involves four steps: feature extraction, quantization, encoding, and pooling. While there have been large advances in feature extraction and encoding, the questions of how to quantize video features and what kinds of regions to pool them over have been relatively unexplored. To tackle the challenges present in video(More)
In preparation for the 2003 International Aerial Robotics Competition (IARC) the Aerial Robotics Club (ARC) at the University of Arizona has designed an autonomous aerial robot. This years aerial system consists of a small-scale airplane with an on-board guidance navigation control system and a ground station of networked computers for mission planning,(More)
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