A number of vision problems such as zero-shot learning and person re-identification can be considered as cross-class transfer learning problems. As mid-level semantic properties shared cross different object classes, attributes have been studied extensively for knowledge-transfer across classes. Most previous attribute learning methods focus only on human-defined/nameable semantic attributes, w...

Sparse coding is a popular approach to model natural images but has faced two main challenges: modelling low-level image components (such as edge-like structures and their occlusions) and modelling varying pixel intensities. Traditionally, images are modelled as a sparse linear superposition of dictionary elements, where the probabilistic view of this problem is that the coefficients follow a L...

Analisis E-Dictionarry yang terdapat pada Playstore perlu dilakukan penelitian dengan menggunakan pendekatan leksikologi. Dalam ini, kamus digital “Arab-Indonesia” menjadi sampel telah dipilih melalui metode non-probability sampling karena peneliti berasumsi bahwa seluruh Arab-Indonesia ada di playstore bersifat heterogen jika ditinjau dari aspek tujuan, desain serta kegunaannya. Selanjutnya, t...

Building a system to extract Arabic named entities is a complex task due to the ambiguity and structure of Arabic text. Previous approaches that have tackled the problem of Arabic named entity recognition relied heavily on Arabic parsers and taggers combined with a huge set of gazetteers and sometimes large training sets to solve the ambiguity problem. But while these approaches are applicable ...