Bufo microscaphus

Number of Pages: 3Integrative BiologyGeological Science

Reply to comment on `A simple model for the short-time evolution of near-surface current and temperature profiles'

This is our response to a comment by Walter Eifler on our paper `A simple model for the short-time evolution of near-surface current and temperature profiles' (arXiv:physics/0503186, accepted for publication in Deep-Sea Research II). Although Eifler raises genuine issues regarding our model's validity and applicability, we are nevertheless of the opinion that it is of value for the short-term evolution of the upper-ocean profiles of current and temperature. The fact that the effective eddy viscosity tends to infinity for infinite time under a steady wind stress may not be surprising. It can be interpreted as a vertical shift of the eddy viscosity profile and an increase in the size of the dominant turbulent eddies under the assumed conditions of small stratification and infinite water depth.Comment: 4 pages. Accepted for publication in Deep-Sea Research II. Uses a modified form of elsart.cl

A Theory of Regret

In A THEORY OF REGRET Brian Price takes up regret as a useful political emotion and, surprisingly, as a way to understand bureaucracy. Drawing on the work of Hannah Arendt, Aristotle, and Heidegger, as well as examples from film, Price presents a philosophical reflection on the transformative qualities of regret insofar as it provides opportunities to re-evaluate our commitments and to recognize that we are judging ourselves and others differently. According to Price, the impersonality and indifference of bureaucracy is often seen as a structure to forestall regret; however, interacting with bureaucrats can be a pathway for thinking about how to redress past wrongs

Cnemidophorus hyperythrus

Number of Pages: 6Integrative BiologyGeological Science

Inner and Inter Label Propagation: Salient Object Detection in the Wild

In this paper, we propose a novel label propagation based method for saliency detection. A key observation is that saliency in an image can be estimated by propagating the labels extracted from the most certain background and object regions. For most natural images, some boundary superpixels serve as the background labels and the saliency of other superpixels are determined by ranking their similarities to the boundary labels based on an inner propagation scheme. For images of complex scenes, we further deploy a 3-cue-center-biased objectness measure to pick out and propagate foreground labels. A co-transduction algorithm is devised to fuse both boundary and objectness labels based on an inter propagation scheme. The compactness criterion decides whether the incorporation of objectness labels is necessary, thus greatly enhancing computational efficiency. Results on five benchmark datasets with pixel-wise accurate annotations show that the proposed method achieves superior performance compared with the newest state-of-the-arts in terms of different evaluation metrics.Comment: The full version of the TIP 2015 publicatio

Sherlock: Scalable Fact Learning in Images

We study scalable and uniform understanding of facts in images. Existing visual recognition systems are typically modeled differently for each fact type such as objects, actions, and interactions. We propose a setting where all these facts can be modeled simultaneously with a capacity to understand unbounded number of facts in a structured way. The training data comes as structured facts in images, including (1) objects (e.g., $$), (2) attributes (e.g.,$$), (3) actions (e.g., $$), and (4) interactions (e.g.,$$). Each fact has a semantic language view (e.g., $$) and a visual view (an image with this fact). We show that learning visual facts in a structured way enables not only a uniform but also generalizable visual understanding. We propose and investigate recent and strong approaches from the multiview learning literature and also introduce two learning representation models as potential baselines. We applied the investigated methods on several datasets that we augmented with structured facts and a large scale dataset of more than 202,000 facts and 814,000 images. Our experiments show the advantage of relating facts by the structure by the proposed models compared to the designed baselines on bidirectional fact retrieval.Comment: Jan 7 Updat

What I believe about leadership and education : a reflective essay

Becoming an educational leader is something I have thought about since becoming a teacher. For a school to run successfully, those in charge must have an understanding of their own beliefs and how those beliefs will fit into the vision of the school. In this paper, I will discuss why I became an educator, what I believe about education, why I decided to enter this program to be a principal and what I believe about leadership