49,037 research outputs found
Toward Entity-Aware Search
As the Web has evolved into a data-rich repository, with the standard "page view," current search engines are becoming increasingly inadequate for a wide range of query tasks. While we often search for various data "entities" (e.g., phone number, paper PDF, date), today's engines only take us indirectly to pages. In my Ph.D. study, we focus on a novel type of Web search that is aware of data entities inside pages, a significant departure from traditional document retrieval. We study the various essential aspects of supporting entity-aware Web search. To begin with, we tackle the core challenge of ranking entities, by distilling its underlying conceptual model Impression Model and developing a probabilistic ranking framework, EntityRank, that is able to seamlessly integrate both local and global information in ranking. We also report a prototype system built to show the initial promise of the proposal. Then, we aim at distilling and abstracting the essential computation requirements of entity search. From the dual views of reasoning--entity as input and entity as output, we propose a dual-inversion framework, with two indexing and partition schemes, towards efficient and scalable query processing. Further, to recognize more entity instances, we study the problem of entity synonym discovery through mining query log data. The results we obtained so far have shown clear promise of entity-aware search, in its usefulness, effectiveness, efficiency and scalability
Restricted Conformal Property of Compressive Sensing
Energy and direction are tow basic properties of a vector. A discrete signal
is a vector in nature. RIP of compressive sensing can not show the direction
information of a signal but show the energy information of a signal. Hence, RIP
is not complete. Orthogonal matrices can preserve angles and lengths.
Preservation of length can show energies of signals like RIP do; and
preservation of angle can show directions of signals. Therefore, Restricted
Conformal Property (RCP) is proposed according to preservation of angle. RCP
can show the direction of a signal just as RIP shows the energy of a signal.
RCP is important supplement and development of RIP. Tow different proofs of RCP
are given, namely, RCP_JL and RCP_IP.Comment: 11 pages, 4 figure
A New SLNR-based Linear Precoding for Downlink Multi-User Multi-Stream MIMO Systems
Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear
precoder design in multi-user (MU) multiple-input multiple-output (MIMO)
systems. It decouples the precoder design problem and makes closed-form
solution available. In this letter, we present a new linear precoding scheme by
slightly relaxing the SLNR maximization for MU-MIMO systems with multiple data
streams per user. The precoding matrices are obtained by a general form of
simultaneous diagonalization of two Hermitian matrices. The new scheme reduces
the gap between the per-stream effective channel gains, an inherent limitation
in the original SLNR precoding scheme. Simulation results demonstrate that the
proposed precoding achieves considerable gains in error performance over the
original one for multi-stream transmission while maintaining almost the same
achievable sum-rate.Comment: 8 pages, 1 figur
Adaptive model for recommendation of news
Most news recommender systems try to identify users' interests and news'
attributes and use them to obtain recommendations. Here we propose an adaptive
model which combines similarities in users' rating patterns with epidemic-like
spreading of news on an evolving network. We study the model by computer
agent-based simulations, measure its performance and discuss its robustness
against bias and malicious behavior. Subject to the approval fraction of news
recommended, the proposed model outperforms the widely adopted recommendation
of news according to their absolute or relative popularity. This model provides
a general social mechanism for recommender systems and may find its
applications also in other types of recommendation.Comment: 6 pages, 6 figure
Generalized Clifford Algebras as Algebras in Suitable Symmetric Linear Gr-Categories
By viewing Clifford algebras as algebras in some suitable symmetric
Gr-categories, Albuquerque and Majid were able to give a new derivation of some
well known results about Clifford algebras and to generalize them. Along the
same line, Bulacu observed that Clifford algebras are weak Hopf algebras in the
aforementioned categories and obtained other interesting properties. The aim of
this paper is to study generalized Clifford algebras in a similar manner and
extend the results of Albuquerque, Majid and Bulacu to the generalized setting.
In particular, by taking full advantage of the gauge transformations in
symmetric linear Gr-categories, we derive the decomposition theorem and provide
categorical weak Hopf structures for generalized Clifford algebras in a
conceptual and simpler manner
The role of bone morphogenetic protein 2 in SMA-directed angiogenesis during distraction osteogenesis
Bone is one of the few organs capable of regeneration after a substantial injury. As the bone heals itself after trauma, the coupling of angiogenesis to osteogenesis is crucial for the restoration of the skeletal tissue. In prior studies we have shown that Bone Morphogenetic Protein 2 (BMP2), a potent agonist for skeletal formation is expressed by vessels making it a prime candidate that links the morphogenesis of the two tissues. To investigate the role of BMP2 in the coordination of vessel and bone formation, we used a tamoxifen inducible Smooth Muscle Actin (SMA) promoter that conditionally expresses Cre recombinases crossed with a BMP2 floxed mouse in order to conditionally delete the BMP2 gene in smooth muscle actin (SMA) expressing cells. Using the mouse femur as our model for bone regeneration, we performed a surgical technique called distraction osteogenesis (DO) where an osteotomy is created followed by distraction or a gradual separation of the two pieces of bone. This primarily promotes intramembranous ossification at the osteotomy site by mechanical stimulation. Tamoxifen treatment started at day 6 and continued throughout the experiment. At post-operative days 3, 7, 12, 17, 24, and 31, we analyzed the bone and vessel formation by plain X-ray, micro-computed tomography (µCT) and vascular contrast enhanced µCT, and quantitative polymerase chain reaction (qPCR) of selective genes. We assessed both the femur and surrounding tissue to obtain qualitative and quantitative assessments for skeletal and vascular formation. Our results demonstrated that the deletion of BMP2 in vascular tissue resulted in a reduction of angiogenesis in vivo followed by a decrease in skeletal tissue development
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