Most conventional text retrieval methods are designed to search for documents. However, users often do not require documents themselves, but are searching for specific information that may come from a large collection of texts quickly. To satisfy this need, we have developed a model and two methods for fine-grained searching. The unit of search in this model is called an atom, and it can be a s...

The paper presents an emerging issue of fine-grained pedestrian action recognition that induces an advanced pre-crush safety to estimate a pedestrian intention in advance. The fine-grained pedestrian actions include visually slight differences (e.g., walking straight and crossing), which are difficult to distinguish from each other. It is believed that the fine-grained action recognition induce...

The introduction of concurrency complicates the already diicult task of large-scale programming. Concurrent object-oriented languages provide a mechanism, encapsulation, for managing the increased complexity of large-scale concurrent programs, thereby reducing the diiculty of large scale concurrent programming. In particular, ne-grained object-oriented approaches provide modularity through enca...

Databases are increasingly being used to store information covered by heterogeneous policies, which require support for access control with great flexibility. This has led to increasing interest in using fine-grained access control, where different cells in a relation may be governed by different access control rules. Although several proposals have been made to support fine-grained access cont...

Due to the increase in the number of classes and the decrease in the semantic differences between classes, fine-grained classification of Named Entities is a more difficult task than classic classification of NEs. Using only simple local context features for this fine-grained task cannot yield a good classification performance. This paper proposes a method exploiting Multi-features for fine-gra...

Sentiment analysis on social media represented by Weibo is one of the hotspot research problems in NLP. A comprehensive and systematic fine-grained annotated corpus plays a significance role. In this paper, considering the characteristics of Weibo, we focus on the constitution of a fine-grained, hierarchical opinion annotated corpus and design a set of labelling specification. We manually annot...

Fine-grained image recognition is a challenging computer vision problem, due to the small inter-class variations caused by highly similar subordinate categories, and the large intra-class variations in poses, scales and rotations. In this paper, we propose a novel end-to-end Mask-CNN model without the fully connected layers for fine-grained recognition. Based on the part annotations of fine-gra...

Semantic part localization can facilitate fine-grained categorization by explicitly isolating subtle appearance differences associated with specific object parts. Methods for pose-normalized representations have been proposed, but generally presume bounding box annotations at test time due to the difficulty of object detection. We propose a model for fine-grained categorization that overcomes t...

Electron micrographs of directcarbon replicas having magnifications of 5400 to 23, 500 times reveal in detail the grain size, shape, and packing of the particles comprising very fine-grained limestones. At these magnifications, however, only portions of a few grains in mediumor coarsegrained limestones can be observed. Grain contacts are mostly curvilinear in very fine-grained limestones but ar...