We design a logic form in Python format called PyQL to represent the reasoning process of numerical reasoning questions.
Multimedia recommendation involves personalized ranking tasks, where multimedia content is usually represented using a generic encoder.
Recent work has indicated that many natural language understanding and reasoning datasets contain statistical cues that may be taken advantaged of by NLP models whose capability may thus be grossly overestimated.
Finally, we apply voting on the results of event classification to perform multicamera fall detection.
Many existing systems for analyzing and summarizing customer reviews about products or service are based on a number of prominent review aspects.
While minimizing the quantization loss guarantees that quantization has minimal effect on retrieval accuracy, it unfortunately significantly reduces the expressiveness of features even before the quantization.
Considering the difficulty in obtaining labeled datasets for image retrieval task in large scale, we propose a novel CNN-based unsupervised hashing method, namely Unsupervised Triplet Hashing (UTH).
Children can use the statistical regularities of their environment to learn word meanings, a mechanism known as cross-situational learning.
We define the Pascal triangle of a discrete (gray scale) image as a pyramidal arrangement of complex-valued moments and we explore its geometric significance.