The deformable part-based model (DPM) is one of the most influential models for generic object detection and many efforts have been made to improve the model. Despite previous work, the problem of how to identify discriminative parts for DPM still remains largely unexplored. Most DPM based methods rely on a fixed number of parts of rectangular shapes, which may not be optimal for some object ca...

Five temperature-sensitive lysis mutants were found to possess very low diaminopimelic acid (Dpm) adding enzyme activity in vitro. Murein synthesis at 42 C was impaired, and uridine-5'-diphosphate-N-acetyl-muramyl-l-Ala- d-Glu (UDP-MurNAc-dipeptide) was accumulated. In the presence of NaCl, the mutants could grow at 42 C. NaCl had no influence on the Dpm adding enzyme activity in vitro. The gro...

Self-assembled polymeric micelles have been widely applied in drug delivery systems. In this study, we found that pH value of micellar system solution was the decisive factor of physical stability. Furthermore, the weak basic solution could maintain the solution clarification for a relative long time. To investigate the stability of polymeric micelles in different pH solutions, the micellar par...

UNLABELLED Dragon Promoter Mapper (DPM) is a tool to model promoter structure of co-regulated genes using methodology of Bayesian networks. DPM exploits an exhaustive set of motif features (such as motif, its strand, the order of motif occurrence and mutual distance between the adjacent motifs) and generates models from the target promoter sequences, which may be used to (1) detect regions in a...

We propose a clustering method that considers non-rigid alignment of samples. The motivation for such a clustering is training of object detectors that consist of multiple mixture components. In particular, we consider the deformable part model (DPM) of Felzenszwalb et al., where each mixture component includes a learned deformation model. We show that alignment based clustering distributes the...

In this paper, we point out some shortcomings of Differential evolution algorithm (DE) with lower search efficiency and advance to the local optimal value easily. Combining with particle swarm algorithm (PSO)’s advantages of convergence rate, we put forward a new hybrid algorithm (DPM) to overcome these shortcomings. Instead of dividing all individuals into two equal size groups, in DPM algorit...

In this paper we present a new modeling technique using software engineering tool Flow Model for modeling and solving the Dynamic Power Management (DPM) with complex behavioral characteristics. Using this tool we can model the whole system easily. Experimental results show that the proposed technique can achieve more than 12% power saving compared to other DPM techniques.

1 We propose a modification to the basic Deterministic Packet Marking (DPM), a promising IP traceback scheme, to handle fragmented traffic. The modification introduces no additional bandwidth overhead, but limited additional memory requirements and processing overhead on the DPM-enabled interface. Index Terms — Security, IP Traceback

After decades of research involving numerous epidemiologic studies and extensive investigations in laboratory animals, a causal relationship between diesel exhaust (DE) exposure and lung cancer has not been conclusively demonstrated. Epidemiologic studies of the transportation industry (trucking, busing, and railroad) show a small elevation in lung cancer incidence (relative risks [RRs] general...