Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
Abstract. Many statistical signal processing problems found in wireless communications involves making inference about the transmitted information data based on the received signal...
—Real-time encoding of high-definition H.264 video is a challenge to current embedded programmable processors. Emerging stream processing methods supported by most GPUs and progr...
Ju Ren, Yi He, Wei Wu, Mei Wen, Nan Wu, Chunyuan Z...
A lot of work has been done in the area of data stream processing. Most of the previous approaches regard only relational or XML based streams but do not cover semantically richer ...