SPIDA: Abstracting and generalizing layout design cases

Abstraction and generalization of layout design cases generate new knowledge that is more widely applicable to use than specific design cases. The abstraction and generalization of design cases into hierarchical levels of abstractions provide the designer with the flexibility to apply any level of abstract and generalized knowledge for a new layout design problem. Existing case-based layout learning (CBLL) systems abstract and generalize cases into single levels of abstractions, but not into a hierarchy. In this paper, we propose a new approach, termed customized viewpoint - spatial (CV-S), which supports the generalization and abstraction of spatial layouts into hierarchies along with a supporting system, SPIDA (SPatial Intelligent Design Assistant)

Semi-Automated SVG Programming via Direct Manipulation

Direct manipulation interfaces provide intuitive and interactive features to a broad range of users, but they often exhibit two limitations: the built-in features cannot possibly cover all use cases, and the internal representation of the content is not readily exposed. We believe that if direct manipulation interfaces were to (a) use general-purpose programs as the representation format, and (b) expose those programs to the user, then experts could customize these systems in powerful new ways and non-experts could enjoy some of the benefits of programmable systems. In recent work, we presented a prototype SVG editor called Sketch-n-Sketch that offered a step towards this vision. In that system, the user wrote a program in a general-purpose lambda-calculus to generate a graphic design and could then directly manipulate the output to indirectly change design parameters (i.e. constant literals) in the program in real-time during the manipulation. Unfortunately, the burden of programming the desired relationships rested entirely on the user. In this paper, we design and implement new features for Sketch-n-Sketch that assist in the programming process itself. Like typical direct manipulation systems, our extended Sketch-n-Sketch now provides GUI-based tools for drawing shapes, relating shapes to each other, and grouping shapes together. Unlike typical systems, however, each tool carries out the user's intention by transforming their general-purpose program. This novel, semi-automated programming workflow allows the user to rapidly create high-level, reusable abstractions in the program while at the same time retaining direct manipulation capabilities. In future work, our approach may be extended with more graphic design features or realized for other application domains.Comment: In 29th ACM User Interface Software and Technology Symposium (UIST 2016

Locke's Answer to Molyneux's Thought Experiment

Philosophical discussions of Molyneux's problem within contemporary philosophy of mind tend to characterize the problem as primarily concerned with the role innately known principles, amodal spatial concepts, and rational cognitive faculties play in our perceptual lives. Indeed, for broadly similar reasons, rationalists have generally advocated an affirmative answer, while empiricists have generally advocated a negative one, to the question Molyneux posed after presenting his famous thought experiment. This historical characterization of the dialectic, however, somewhat obscures the role Molyneux's problem has played in spawning debates within the empiricist tradition. Fortunately, the differences between various empiricist accounts have been widely recognized and discussed among historians of philosophy working on the topic. The focus of the present essay is to develop an interpretation of John Locke's views on Molyneux's problem that best coheres with his other views on human understanding as well as with the predominant scientific opinion about the nature of perception during the period in which he lived

Efficient Point-Cloud Processing with Primitive Shapes

This thesis presents methods for efficient processing of point-clouds based on primitive shapes. The set of considered simple parametric shapes consists of planes, spheres, cylinders, cones and tori. The algorithms developed in this work are targeted at scenarios in which the occurring surfaces can be well represented by this set of shape primitives which is the case in many man-made environments such as e.g. industrial compounds, cities or building interiors. A primitive subsumes a set of corresponding points in the point-cloud and serves as a proxy for them. Therefore primitives are well suited to directly address the unavoidable oversampling of large point-clouds and lay the foundation for efficient point-cloud processing algorithms. The first contribution of this thesis is a novel shape primitive detection method that is efficient even on very large and noisy point-clouds. Several applications for the detected primitives are subsequently explored, resulting in a set of novel algorithms for primitive-based point-cloud processing in the areas of compression, recognition and completion. Each of these application directly exploits and benefits from one or more of the detected primitives' properties such as approximation, abstraction, segmentation and continuability

Concrete Thinking for Sculpture

This article proposes to explore the variegated plays of concrete as a travelling concept through four specific examples, viewed from the locality of the Yorkshire Sculpture Triangle in 2015. It will be argued that ‘concrete’ makes possible a triangulated reading practice in, of and for sculpture. The first example looks to the use of concrete, as a material, in some of the ‘technical’ experiments of Henry Moore, from the 1920s-1930s. The second example is the only public concrete sculpture by Barbara Hepworth on record, entitled Turning Forms. This is a kinetic work which was commissioned for the Festival of Britain in 1951. The psychic registrations of form-in-concrete will be explored through the aesthetic reception and understanding of these works. The third example examines the interplay between abstraction and concretion in a work of structural engineering: the Arqiva transmission tower on Emley Moor. This structure is a working utilitarian model of the telecommunications industry which took hold in the 1960s and 1970s. It is also a sculptural monument in a landscape of other design ‘types’. The fourth example considers the recent display of Lygia Clark’s Bichos at the Henry Moore Institute, Leeds, in 2014-2015. Bicho Pássaro do Espaço (‘Creature Passing through Space’) (1960) reveals a particular translation between concrete thinking and concrete experience. These examples call upon the semantics of the concrete as a thought process and will track a journey into a region marked by three interconnected points: the concrete specificity in the material works selected, the broader field of concrete forms within which the sculptural may sit and the philosophical/aesthetic language of concrete for sculpture

Cognitive Deficit of Deep Learning in Numerosity

Subitizing, or the sense of small natural numbers, is an innate cognitive function of humans and primates; it responds to visual stimuli prior to the development of any symbolic skills, language or arithmetic. Given successes of deep learning (DL) in tasks of visual intelligence and given the primitivity of number sense, a tantalizing question is whether DL can comprehend numbers and perform subitizing. But somewhat disappointingly, extensive experiments of the type of cognitive psychology demonstrate that the examples-driven black box DL cannot see through superficial variations in visual representations and distill the abstract notion of natural number, a task that children perform with high accuracy and confidence. The failure is apparently due to the learning method not the CNN computational machinery itself. A recurrent neural network capable of subitizing does exist, which we construct by encoding a mechanism of mathematical morphology into the CNN convolutional kernels. Also, we investigate, using subitizing as a test bed, the ways to aid the black box DL by cognitive priors derived from human insight. Our findings are mixed and interesting, pointing to both cognitive deficit of pure DL, and some measured successes of boosting DL by predetermined cognitive implements. This case study of DL in cognitive computing is meaningful for visual numerosity represents a minimum level of human intelligence.Comment: Accepted for presentation at the AAAI-1

Capturing Memory

In my work, I present the moments of true emotional clarity and impactful memories from my life. I strive to provide insight into my experiences and my understanding of others’ motivations. The creative process helps safely guide me through memories of the past and understanding of others. In my abstracted mixed media paintings and crafts, I use bold jewel tones to express strong feelings and passionate emotions. I also incorporate found objects and paints to communicate the layers and varied depth of memories. With the use of these varied materials, I have developed a personal symbolic language that allows me to relay aspects of my life and perceptions. My goal is to explore my past and invite the viewer into my experiences

Snapshot in a Squiggle: How Painting Terminology Illuminates Short Fiction

This paper will demonstrate that painting terms can offer a helpful avenue to understand short fiction, particularly abstract short fiction. After defining abstraction, realism, and the short story, it will trace relevant stages in the evolution of both painting and short fiction to show how and why the media share similar elements. In this examination, the paper will discuss which features of painting correspond with certain features of short fiction. Based on the essential elements of short fiction, as well as the features mentioned above, the paper will analyze examples of short stories that exemplify how painting parallels short fiction and how terminology drawn from that field can help illuminate abstract short stories