Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
—The strategies for the preservation of historical documents can include their digitization, which is an effective way to make them publicly available while preventing degradatio...
A novel decomposition of functions using generalized bitplanes has been recently proposed. Such a decomposition maps a function into a set of indexes, thus performing quantization...
The modelling of realistic emotional behaviour is needed for various applications in multimodal human-machine interaction such as the design of emotional conversational agents (Ma...