"Deformable Part Model" (DPM) based on "Histograms of Oriented Gradients" (HOG) is known as a robust shape detection algorithm, especially for human body detection. For cat face detection, HOG has been applied since they are quite uniform regardless of the bleed. However, in general, dog faces show larger variation than cat faces. Therefore, we assumed that DPM may work well to the dog face var...

The deformable parts model (DPM) [6] serves as a key component in most modern state-of-the-art object detection systems. At a high level, the DPM composes a single object model by learning to detect and assemble parts of an object. Most modern systems employing the DPM employ densely computed Histogram of Oriented Gradients [5] features at training time. Despite the success of HOG features in m...

This paper explores the localization of pre-defined semantic object parts, which is much more challenging than traditional object detection and very important for applications such as face recognition, HCI and fine-grained object recognition. To address this problem, we make two critical improvements over the widely used deformable part model (DPM). The first is that we use appearance based sha...

We introduce the design methodology known as dynamic power management (DPM), targtting the maximization of power efficiency under performance constroints for electronic s,stemt. We first describe the basic motivations for implementing DPM, then we surve'l several power management ,chemes. Finally, we provide guidelines to assessing the potential impact of a DPM scheme for a given target system.

The exposure of mine workers to diesel particulate matter (DPM) and gases is an issue of great concern to the underground mining community in the United States. Approximately 30,000 underground miners are potentially exposed to high concentrations of DPM. In January of 2001, the U.S. Mine Safety and Health Administration (MSHA) promulgated rules setting compliance standards for both underground...

Drug Profile Matching (DPM), a novel virtual affinity fingerprinting method capable of predicting the medical effect profiles of small molecules, was introduced by our group recently. The method exploits the information content of interaction patterns generated by flexible docking to a series of rigidly kept nontarget protein active sites. We presented the ability of DPM to classify molecules e...

This paper describes an investigation of a role-based Design Performance Measurement (DPM) matrix that incorporates design performance measures with three design team role-players: the top design manager, the middle design manager and the designer. Based on the author’s previous research, a DPM matrix combining 25 criteria was developed to support DPM operation during a design process. A questi...

Biosynthesis of glycosylphosphatidylinositol and N-glycan precursor is dependent upon a mannosyl donor, dolichol phosphate-mannose (DPM). The Thy-1negative class E mutant of mouse lymphoma and Lec15 mutant Chinese hamster ovary (CHO) cells are incapable of DPM synthesis. The class E mutant is defective in the DPM1 gene which encodes a mammalian homologue of Saccharomyces cerevisiae Dpm1p that i...

Amnesiac mutant flies have an olfactory memory defect. The amn gene encodes a homolog of vertebrate pituitary adenylate cyclase-activating peptide (PACAP), and it is strongly expressed in dorsal paired medial (DPM) neurons. DPM neurons ramify throughout the mushroom bodies in the adult fly brain, and they are required for stable memory. Here, we show that DPM neuron output is only required duri...