Modelling and interpretation of architecture from several images

This paper describes the automatic acquisition of three dimensional architectural models from short image sequences. The approach is Bayesian and model based. Bayesian methods necessitate the formulation of a prior distribution; however designing a generative model for buildings is a difficult task. In order to overcome this a building is described as a set of walls together with a ‘Lego’ kit of parameterised primitives, such as doors or windows. A prior on wall layout, and a prior on the parameters of each primitive can then be defined. Part of this prior is learnt from training data and part comes from expert architects. The validity of the prior is tested by generating example buildings using MCMC and verifying that plausible buildings are generated under varying conditions. The same MCMC machinery can also be used for optimising the structure recovery, this time generating a range of possible solutions from the posterior. The fact that a range of solutions can be presented allows the user to select the best when the structure recovery is ambiguous

Twenty Years of Student Scholarship: Celebrating the Dalhousie Journal of Legal Studies

In this paper, we propose a novel controllable text-to-image generative adversarial network (ControlGAN), which can effectively synthesise high-quality images and also control parts of the image generation according to natural language descriptions. To achieve this, we introduce a word-level spatial and channel-wise attention-driven generator that can disentangle different visual attributes, and allow the model to focus on generating and manipulating subregions corresponding to the most relevant words. Also, a word-level discriminator is proposed to provide fine-grained supervisory feedback by correlating words with image regions, facilitating training an effective generator which is able to manipulate specific visual attributes without affecting the generation of other content. Furthermore, perceptual loss is adopted to reduce the randomness involved in the image generation, and to encourage the generator to manipulate specific attributes required in the modified text. Extensive experiments on benchmark datasets demonstrate that our method outperforms existing state of the art, and is able to effectively manipulate synthetic images using natural language descriptions. Code is available at https://github.com/mrlibw/ControlGAN.Comment: NeurIPS 201

Estimating 3D hand pose using hierarchical multi-label classification

This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tree in order to recognize multiple object classes. We are interested in the problem of recognizing multiple patterns as it is closely related to the problem of locating an articulated object. Each different pattern class corresponds to the hand in a different pose, or set of poses. For this problem obtaining labelled training data of the hand in a given pose can be problematic. Given a parametric 3D model, generating training data in the form of example images is cheap, and we demonstrate that it can be used to design classifiers almost as good as those trained using non-synthetic data. We compare a variety of different template-based classifiers and discuss their merits

The use of a MED calendar to increase medication compliance

This study describes the successful design and implementation of a medications calendar to increase medication compliance among Navajo patients who have difficulty complying with prescription instructions. This paper is presented as an example of a successful method for trying to ensure that medications are taken according to instructions. The MED calendar is designed to help non-English speaking and elderly patients in particular.Initially the calendars were hand made by the drivers from the Public Health Nursing Department. Their primary duty was to serve as interpreters for the Public Health Nurse. Poster board (20 x26 ) was used to simulate a monthly calendar. The days of the week were marked on each grid on each board. The boards were then laminated and the laminated surface was used to mark the name and days of the month for which the calendar was being used. The patients medications were then placed in single unit dose packages. The dose packages were then taped to the calendar according to the prescribed schedule. The patient then received a detailed verbal explanation on when and how to take his or her medicine. The calendar was attached to the wall of the patient\\u27s residence with stick pins and medications were placed for 2-4 weeks at a time. The material cost of the original calendars was $1.75 without labor. Now a professional printer produces them at a total cost of$3.00 per unit. There were two primary safety considerations explored with the implementation of the MED calendars. The first was concern for the stability of the medication in a clear package as opposed to opaque bottle. The Chief of Pharmacy indicated that medicine can be kept in unit dose packages up to six months. The benefits of patient compliance were much greater than any small risk of medication instability. The second concern was safety around small children. In most cases the calendar can be placed high enough on the wall to be out of reach of the children. If this is not possible then the use of the MED calendar is not considered.MED calendars were well accepted by the patients. Navajo patients relate well to ordinary monthly calendars, and this does not require knowledge of the English language. Also, the calendars are highly visible making them difficult to ignore. Medication doses are more easily understood with a pictorial association. The calendars are durable and last at least two or three years. From 1985 to 1987, the MED calendars were used with non-compliant patients. Seventy-three percent of the patients showed some improvement. Improvement was measured by 1) improvement in clinical symptoms including decreased hospitalization, 2) accurate or improved pill count, and 3) patient\\u27s and/or doctor\\u27s affirmation of compliance. There are several difficulties noted in the use of the MED calendar. Safety in the presence of small children is a major concern. Some patients become very dependent on the MED calendar, and this becomes time consuming for the Public Health Nurse who must visit every 2-4 weeks to refill the unit dose packages. Sometimes the unit dose packages do not remain secured to the calendar. Finally, the large size of the calendar can create difficulties in transporting them and are therefore objectionable to some of the patients.The study concludes that the benefits of the MED calendar far outweigh the difficulties encountered in using this system of promoting and facilitating patient compliance

EC Agricultural Prices. Price Indices and absolute prices-Quarterly Statistics 1-1993

We propose MAD-GAN, an intuitive generalization to the Generative Adversarial Networks (GANs) and its conditional variants to address the well known problem of mode collapse. First, MAD-GAN is a multi-agent GAN architecture incorporating multiple generators and one discriminator. Second, to enforce that different generators capture diverse high probability modes, the discriminator of MAD-GAN is designed such that along with finding the real and fake samples, it is also required to identify the generator that generated the given fake sample. Intuitively, to succeed in this task, the discriminator must learn to push different generators towards different identifiable modes. We perform extensive experiments on synthetic and real datasets and compare MAD-GAN with different variants of GAN. We show high quality diverse sample generations for challenging tasks such as image-to-image translation and face generation. In addition, we also show that MAD-GAN is able to disentangle different modalities when trained using highly challenging diverse-class dataset (e.g. dataset with images of forests, icebergs, and bedrooms). In the end, we show its efficacy on the unsupervised feature representation task

Phytoplankton Community Composition in Gowrikere Tank Anandapura, Sagara, Shivamogga, Karnataka, India

No Abstract

Prefrontal and Motor Planning Cortical Activity during Stepping Tasks Is Related to Task Complexity but Not Concern about Falling in Older People: A fNIRS Study

This study investigated the effect of concern about falling on neural efficiency during stepping in older people. Community-dwellers aged >65 years were categorised as having low (n = 71) and high (n = 28) concerns about falling based on the Iconographical Falls Efficacy Scale (IconFES 10-item, scores <19 and ≥19, respectively). Participants performed a choice stepping reaction time test (CSRT), an inhibitory CSRT (iCSRT), and a Stroop stepping test (SST)) on a computerised step mat. Cortical activity was recorded using functional near-infrared spectroscopy. There were no significant differences in stepping response times or cortical activity in the dorsolateral prefrontal cortex (DLPFC), supplementary motor area (SMA), and premotor cortex (PMC) between those with and without concern about falling. However, stepping response times and cortical activity in the PFC, SMA, and PMC were significantly higher in the SST compared with the CSRT in the whole sample. PMC activity was also higher in the SST compared to the iCSRT. These findings demonstrate that cortical activity is higher in cognitively demanding stepping tasks that require selective attention and inhibition in healthy older people. The lack of association between concern about falling and neural efficiency during stepping in this older sample may reflect their only moderate scores on the IconFES

快捷地和舒暢地穿梭於公園間，遠離汽車廢氣和噪音的污染。

A research project of HKU - Initiative on Clean Energy & EnvironmentpostprintThe HSBC Eco Asia Conference (滙豐亞洲環保會議), Hong Kong Trade Development Council, Hong Kong, 28–30 October 2009

SISTEM INFORMASI MONUMEN YOGYA KEMBALI BERBASIS MULTI MEDIA

Skripsi ini dirancang dan ditulis untuk mencapai beberapa tujuan. Tujuan yang utama adalah untuk memvisualisasikan Monumen Yogya Kembali kepada masyarakat umum terutama melalui Internet dengan menggunakan Borland Delphi 3.0. Dengan ini diharapkan masyarakat dapat mengetahui Monumen Yogya Kembali secara menyeluruh dari lantai dasar dan halaman sampai ke lantai yang paling atas. Penampilan Monumen disini bukan hanya berupa gambar dan suara tetapi juga visual, sehingga menambah kejelasan para pengunjung yang menggunakan Internet. Pada Skripsi ini merupakan penerapan visualisasi komputer untuk Monumen Yogya Kembali. Grafika komputer merupakan salah satu bidang ilmu komputer yang mempelajari cara mempermudah dan meningkatkan interaksi manusia dan komputer dengan menciptakan, menyimpan, memanipulasi model gambar obyek yang diciptakan dengan komputer. Salah satu aspek grafika komputer adalah tehnik pembuatan gambar yang bisa disebut visualisasi. Untuk menyelesaikan Skripsi Visualisasi Monumen Yogya Kembali ini digunakan Borland Delphi 3.0. Procedure yang banyak digunakan adalah pemanggil data, pemanggil gambar serta player Video yang telah disediakan pada fungsi Windows API, Database Dekstop dan Borland Database Engine